- Research article
- Open Access
Dissecting a neuron network: FIB-SEM-based 3D-reconstruction of the visual neuropils in the sea spider Achelia langi (Dohrn, 1881) (Pycnogonida)
© Lehmann et al.; licensee BioMed Central Ltd. 2014
- Received: 13 May 2014
- Accepted: 21 July 2014
- Published: 13 August 2014
The research field of connectomics arose just recently with the development of new three-dimensional-electron microscopy (EM) techniques and increasing computing power. So far, only a few model species (for example, mouse, the nematode Caenorhabditis elegans, and the fruit fly Drosophila melanogaster) have been studied using this approach. Here, we present a first attempt to expand this circle to include pycnogonids, which hold a key position for the understanding of arthropod evolution. The visual neuropils in Achelia langi are studied using a focused ion beam-scanning electron microscope (FIB-SEM) crossbeam-workstation, and a three-dimensional serial reconstruction of the connectome is presented.
The two eyes of each hemisphere of the sea spider’s eye tubercle are connected to a first and a second visual neuropil. The first visual neuropil is subdivided in two hemineuropils, each responsible for one eye and stratified into three layers. Six different neuron types postsynaptic to the retinula (R-cells) axons are characterized by their morphology: five types of descending unipolar neurons and one type of ascending neurons. These cell types are also identified by Golgi impregnations. Mapping of all identifiable chemical synapses indicates that the descending unipolar neurons are postsynaptic to the R-cells and, hence, are second-order neurons. The ascending neurons are predominantly presynaptic and sometimes postsynaptic to the R-cells and may play a feedback role.
Comparing these results with the compound eye visual system of crustaceans and insects – the only arthropod visual system studied so far in such detail – we found striking similarities in the morphology and synaptic organization of the different neuron types. Hence, the visual system of pycnogonids shows features of both chelicerate median and mandibulate lateral eyes.
- Median eyes
- Lateral eyes
- Visual system
One of the most intriguing questions in vision research is how the neuronal circuitry processes the visual input from the photoreceptors, that is, the neuronal correlate of the eye and retina’s visual architecture. Cell-type-specific wiring rules, the divergence and convergence of information channels and the maintenance of retinotopy are some of the core issues. Here, data acquisition entails the challenge of covering volumes of thousands of cubic micrometers (to enclose entire neurons) with a voxel-resolution of only a few nanometers (to correctly trace membrane profiles and to see synaptic structures). One promising approach is (three-dimensional) reconstruction from serial section transmission electron microscopy (TEM), which is nowadays a well-established way of analyzing circuitry of neural networks –. However, several hundreds of sections or even more have to be cut without any loss of sections, inspected and photographed with the TEM, resulting in an enormous data volume, which is followed by a complex elastic alignment to compensate inevitable image distortions using an elastic alignment program (for example, TrakEM2 ,). Hence, the main criterion in selecting a suitable subject for such a study is a small size. In analyzing nervous systems regarding connectomics, either small animals with a small central nervous system (CNS) or a restricted region within the CNS or even within a particular neuropil are possible study subjects to obtain a comprehensive data stack.
Early serial section EM research dealing with arthropod visual systems was performed by Macagno et al.  in analyzing the visual system in Daphnia magna and later by Meinertzhagen and O'Neil  in reconstructing synaptic connections in the lamina cartridges of Drosophila. A classic example for the reconstruction of a whole nervous system is the nematode Caenorhabditis elegans,. An early attempt to use computerized three-dimensional reconstructions to study the axonal wiring of photoreceptor axons is that by Melzer et al.  in midges and the scorpion fly. These studies did not have today’s computing power at their disposal. In the last few years, personal computers have become capable of handling the enormous data volumes inevitable for three-dimensional reconstructions from serial section TEM. Previous studies using this power have focused on the lamina and medulla in the fruit fly Drosophila melanogaster–.
Furthermore, in recent years, a new generation of three-dimensional-EM tools has been developed –, which includes Serial Block Face Scanning Electron Microscopy (SBF-SEM or simply SBEM) based either on mechanical sectioning , or milling with a focused ion beam (FIB-SEM, ,). These methods enhanced the potential of three-dimensional-EM considerably and are applied, for example, on nervous tissue – and to display and count synapses in vertebrates –.
In the present study, we analyze the visual neuropils in the pycnogonid Achelia langi with one of these methods, namely FIB-SEM. The advantages of this cutting-edge method are that compared to serial section TEM, the generation of the image-stack is much faster and without loss, the images are perfectly aligned with a z-resolution down to 5 nm (TEM approximately 70 nm), and the x-y-resolution and contrast compared to TEM are only slightly reduced.
The Pycnogonida, or sea spiders, are exclusively marine invertebrates, numbering more than 1,300 species worldwide . Although largely unnoticed due to their cryptic life habits and economic insignificance, sea spiders are common benthic animals occurring from the littoral zone to the deep sea, from tropical to polar waters. The fossil record dates back to the early Paleozoic Era, with the earliest unequivocal records dating back to the Ordovician and Silur ,. It has even been hypothesized that Pycnogonida might date back to the Cambrian . The phylogenetic position of the Pycnogonida has long been controversial and is still under debate. Pycnogonids are placed either within the Chelicerata as sister taxon of the Euchelicerata or as sister taxon of all other Euarthropoda ,. In recent years the debate has shifted in favor of sea spiders being chelicerates ,. Studies of the development and the innervation patterns of the brain have shown that characters from the nervous system can contribute important arguments to the discussion about the phylogenetic position of sea spiders –.
For this field of research in general, comparing the structure and development of nervous systems in a phylogenetic context, two different approaches have been established: `neurophylogeny’ , and `neural cladistics’ ,.
The sensory parts of the arthropod protocerebrum are primarily responsible for the visual system. Two different types of eyes are found in arthropods, median and lateral eyes. Pycnogonids possess only a periscope-like ocular tubercle with four little eyes or ocelli (sensu Richter et al. ) generally interpreted as median eyes, whereas classical lateral eyes are absent. Studies using light , and electron microscopy , have revealed that these pigment cup eyes have a cuticular lens and a latticed rhabdom surrounded by pigment layers, features typical of median eyes. Derived conditions might include the structure of the retinula or R-cells, described as `pseudoinverted’ , and the presence of a tapetum lucidum (guanine multilayer reflector). The connection of these R-cells to the brain was recently analyzed with classical and modern neuroanatomical techniques to identify the visual neuropils . Hence, the pycnogonid visual system is composed of a thickening dorsolateral to the protocerebrum where the nerve fibers from the two eyes of one hemisphere concentrate, a bifurcated visual tract and two successive distinct visual neuropils. This innervation pattern is very similar to that of the eyes in Euperipatoides rowelli (Onychophora)  and the median rudimentary eye in Limulus polyphemus (Xiphosura) ,.
The architecture of the visual system of sea spiders is relatively simple compared to that of many other arthropods. Considering the phylogenetic position of pycnogonids as basal chelicerates or even arthropods suggested by both tree reconstruction and the fossil record, one can conclude that the selection of Pycnogonida allows us to understand a visual system in a detailed way due to its simplicity and to learn more about eye evolution in arthropods.
In the present study, we take a closer look at the visual neuropils in the pyconogonid Achelia langi (Ammotheidae) using the advantages of FIB-SEM. In a low-resolution stack, the arrangement of the visual nerve fibers and neuropils is analyzed. In a second, medium-resolution stack, neurons postsynaptic to the R-cells are three-dimensionally reconstructed to gain a more detailed view of the neuroanatomy of the pycnogonid visual system. To utilize two strains of evidence, the morphology of these cells is additionally compared to Golgi-impregnated profiles in Achelia vulgaris. Finally, in a third high-resolution stack, the distribution of synapses within these cells is analyzed. These findings reveal features of the visual system generally studied in Arthropoda to allow comparisons with other lineages.
General layout of the visual neuropils in the protocerebrum
Cell types in the first visual neuropil
Furthermore, six different types of neurons were reconstructed and classified on the basis of their morphology: five descending cell types (Figures 3A to E) and one ascending cell type (Figure 3F). All of these neurons can also be identified by Golgi impregnations (Figure 3 rightmost). The descending cells are unipolar neurons with cell bodies in the cell body rind above the neuropil, which send a single neurite each into the first visual neuropil. (To keep the Results section free from homology assumptions, the term `monopolar cells’ is intentionally avoided because this term is occupied by the monopolar cells in the compound eye visual system in Pancrustacea; see Discussion). Most of the descending neurons can be traced from the cell body all the way through the neuropil to the end of the image stack. Neurons reconstructed without cell bodies can be allocated to their particular cell type on the basis of the morphology of the neurites. A classification of the ascending neurons cannot be made because the cell bodies of these cells are beyond the examined area. However, the cell bodies must be located below the neuropil, whereas the neurites end before the top end of the neuropil. A large section of the ascending cells and all of the descending cells with cell bodies within the examined volume above the neuropil are reconstructed, and some cells are allocated due to their neurite morphology. Individual retinula axons (cells with a high electron density), due to the low contrast of these cells in the FIB-SEM images, and synapses, due to the too-low resolution, cannot be reliably traced in the medium-resolution stack. In the stack having the highest resolution, however, the R-cells and synapses are reconstructed (see below and Figure 7). The total volume of interest (that is, neuropil and cell bodies in the examined area) is approximately 4,800 μm3, and the volume of all reconstructed cells is 567 μm3; hence, the reconstructed cells occupy approximately 12% of the volume.
Descending unipolar neurons (D1 to D5)
D1 (Figures 3A, 4; n = 6)
The cell bodies in two of the six cells could be reconstructed; the remaining cells were allocated due to their neurite morphology. Cell bodies are found in the cell body rind above or lateral to the upper third of the neuropil. The neurites are unbranched and slightly curved. All cells can be traced to the end of the image stack. Short collaterals occur in tangential and radial directions throughout the neurite but are accumulated in the medium range of the neuropil. Each cell profile covers only a small area of the neuropil. D1 neurons can be found throughout the neuropil, whereas a single neuron is restricted to only one hemineuropil.
D2 (Figures 3B, 4; n = 5)
The cell bodies could be at least partially reconstructed in all cells. They are found in the cell body rind above or lateral to the upper third of the neuropil. The neurites are branched and slightly curved. The branching always occurs in the medium range of the neuropil, and the neurite is divided into a short and a long branch. The long branch of all cells can be traced to the end of the image stack; the short branch ends in the medium range of the neuropil and is radially oriented. Short collaterals occur in tangential and radial directions throughout both branches of the neurite. Each cell profile covers a larger area of the neuropil compared to the D1 cells. D2 neurons can be found throughout the neuropil, whereas a single neuron is restricted to only one hemineuropil.
D3 (Figures 3C, 4; n = 6)
The cell bodies could be at least partially reconstructed in four cells; the remaining cells were allocated due to neurite morphology. The cell bodies are found in the cell body rind above or lateral to the upper third of the neuropil. The neurites are bifurcated. The bifurcation always occurs in the medium range of the neuropil. Both branches can be traced to the end of the image stack. Short collaterals occur in tangential and radial directions throughout both branches of the neurite. Similarly to the D2 cells, each cell profile covers a larger area of the neuropil compared to the D1 cells. D3 neurons can be found throughout the neuropil, whereas a single neuron is restricted to only one hemineuropil.
D4 (Figures 3D, 4; n = 2)
One cell could be reconstructed with only a small portion of the cell body; the other cell was allocated due to the neurite morphology. The cell bodies are found in the cell body rind above the neuropil. The neurites are h-shaped. In the medium range of the neuropil, the neurite is radially oriented and builds two tangential branches, each reaching into one hemineuropil. Short collaterals occur in tangential and radial directions throughout the neurite. All cells can be traced to the end of the image stack. A single D4 neuron occurs in both hemineuropils at once. The cell profiles cover, compared to the other D cells, the largest area of the neuropil because they occur in both hemineuropils.
D5 (Figures 3E, 4; n = 9)
The cell bodies could be reconstructed at least partially in all cells. They are found in the cell body rind above or lateral to the upper third of the neuropil. The neurites are unbranched, straight or only slightly curved. Six neurons are without any collaterals and three neurons with just one or two short tangential collaterals. All cells can be traced to the end of the image stack. D5 neurons can be found in the right hemineuropil only. These neurons cross the right hemineuropil at its edge, and in the lower part of the neuropil they can be found in the area that divides the two hemineuropils.
Ascending neurons (A1)
A1 (Figures 3F, 4; n = 6)
Cell bodies were not found in the examined area. All reconstructed cells end in the upper third of the neuropil; hence, the neurites could not be traced from the most proximal slice throughout the neuropil to the distal end. The cell bodies of these neurons must, therefore, be located below the neuropil, meaning that these cells are ascending neurons. The neurites are equipped with multiple branches, each with several large boutons or varicosities and thin connectors in between. These cells have a high-turgor appearance; this means that the boutons have rounded contours. A1 neurons can be found throughout the neuropil; however, branches of A1 neurons accumulate in the area that divides the two hemineuropils. A single neuron occurs in both hemineuropils at once. Each cell profile covers a large area of the neuropil.
Organization of the first visual neuropil
When all neuron types (D1 to D5, A1) are shown together, no special organization of the neuropil is identifiable (Figures 5A; 6A; Additional file 1). However, by removing the A1 neurons from the three-dimensional reconstruction, a subdivision of the visual neuropil becomes apparent (Figures 5B; 6B), which is also observed in the FIB-SEM images (see above and Figures 4B, C). The neuropil is divided into two hemineuropils of equal size. Between the hemineuropils, a border zone exists where fewer of the D-cells occur. While the D1 to D4 cells are evenly distributed in both hemineuropils, the D5 cells occur only in the right hemineuropil (Figures 5B; 6B). When the D5 cells are removed from the reconstruction (Figures 5C, D; 6C, D) the subdivision becomes more obvious; moreover, a feature of the D4 cell becomes visible: these neurons connect the two hemineuropils. Whereas just a few collaterals of the D1 to D3 cells reach into the border zone, branches of the D4 cells run through this border and connect both hemineuropils.
When each cell type is shown on its own, their characteristic features become visible (Figures 5E-J; 6E-J). The D1, D2 and D3 cells form the main body (apart from the A1 cells) of the visual neuropil (Figures 5D-G; 6D-G); these cells form the two hemineuropils. Just a few collaterals, but not the main branches, of the D1, D2 and D3 cells of the two hemineuropils reach into the border zone in between. In contrast to the D1, D2 and D3 cells, the main branches of the D4 cells cross the border zone and occur in both hemineuropils at once (Figures 5H; 6H). The D5 cells take a special position; these cells were found in the examined area only in the right hemineuropil (Figures 5I; 6I). The neurites of the D5 cells run along the posterior edge of this hemineuropil, and in the lower part they are found primarily in the border zone between the hemineuropils.
The A1 cells can be distinguished from the D1 to D5 cells in morphology and distribution. These cells do not form two hemineuropils; rather, the neurites of these cells are distributed throughout the neuropil and are accumulated in the border zone of the two hemineuropils.
Synaptic organization of the first visual neuropil
R-cells (Figure 7C; n = 18)
Synaptic pattern of the different cell types in the high-resolution stack
→ presynaptic to ↓
R-cells (number = 18)
D-Cells (number = 7)
A-cells (number = 8)
cells not reconstructed
D-cells (Figure 7D; n = 7)
These cells were allocated, due to their neurite morphology, to the D-cells of the medium-resolution stack (Figure 3). A subdivision into the five different D-cell types cannot be made because only a small portion of the cells on the z-axis were reconstructed. Within these cells, just a few areas with increased vesicle density and other indicators of presynaptic activity were found in the reconstructed area; most cells are without such presynaptic sites. D-cells are predominantly postsynaptic to R-cells and sometimes to A-cells (Table 1). One individual D-cell is postsynaptic to several R-cells.
A-cells (Figure 7E; n = 8)
These cells were allocated, due to their neurite morphology (high-turgor appearance, boutons with connectors), to the A-cells of the medium-resolution stack (Figure 3). Within these cells, an average of 8.1 synapses per cell is found in the reconstructed area; these are found primarily in the boutons. A-cells are predominantly presynaptic to R-cells and sometimes to D-cells. Furthermore, A-cells are sometimes postsynaptic to R-cells (Table 1).
The term `connectome’ refers to the mapping of all neural connections within an organism's nervous system or a confined part of it. These `wiring diagrams’ can be defined at different levels of scale, corresponding to levels of interest or the spatial resolution of imaging, for example, the microscale, mesoscale and macroscale . A connectome at the macroscale (light microscope level) attempts to resolve different brain regions or neuropils and the pathways in between; these brain maps were established over the last hundred years for various species. These days with the help of various new techniques and increased computing power, the meso- and microscale (electron microscope) levels come into focus. At the mesoscale level, the morphology of distinct populations of neurons within a processing unit (for example, a column or a neuropil) is mapped. This level of analysis can be complemented by the microscale level, which involves mapping single neurons and their connectivity patterns (synapses), which according to Sporns et al.  will remain infeasible for an entire brain, at least for the near future. Recently, two ambitious scientific research projects, the Human Brain Project (by the European Union) , and the BRAIN Initiative (by the United States) ,, were launched to map these connection patterns in the human brain.
At the meso- and microscale levels, the basic architecture of sensory neuropils in both vertebrates (for example, the visual cortex in the human brain ) and invertebrates (for example, the optic lobes of the compound eyes in insects and crustaceans ,) is characterized by columns and layers. The vertical columns, for example, in the insect lamina and medulla , are composed of repetitive subsets of afferent fibers (for example, those of the retinula cells) and characteristic postsynaptic neurons (for example, monopolar cells) that form the basic functional unit of a system (for example, visual system). Often, these columns are horizontally layered (for example, strata M1 to M6 in the medulla).
In the present study, we analyzed the pycnogonid visual neuropil at macro-, meso- and microscale levels to examine the principles that underlie this (simple) visual system and whether they compare to more complicated ones.
In the low-resolution stack, the macroscale observations of Lehmann et al.  can be confirmed. After entering the brain, the fiber bundle with the R-cell axons is split; one part of the axons ends in the first visual neuropil, and the other part passes the first visual neuropil and terminates in the second.
At the mesoscale level, aside from the R-cells, six different cell types can be distinguished in the first visual neuropil: five descending and one ascending cell type. The neuron gestalten are identified with two different approaches, providing support that both our three-dimensional-reconstruction and the Golgi-profiles give correct pictures of the neurons.
Three types of descending cells (D1, D2 and D3) are responsible for the subdivision of the first visual neuropil into two hemineuropils; these cells do not cross the border in between. In contrast, D4 neurons occur in both hemineuropils at once and provide lateral interactions between the two hemineuropils. The interpretation of the D5 cells is difficult. Here, these cells are found only in the right hemineuropil, which is most likely a sampling artifact, and the D5-cell bodies of the left hemineuropil are beyond the examined volume and, hence, are not reconstructed. At the microscale level, the D-cells are frequently postsynaptic to the R-cell axons and hence are second-order neurons. One individual R-cell is presynaptic to several D-cells and one individual D-cell is postsynaptic to several R-cells, indicating divergence and convergence. Concerning the synaptic pattern, no reliable separation between the five different D-cells could be made in the high-resolution stack. However, the reconstructed cells vary in the tangential size of the field they cover in a way that is analogous to their appearance in the medium-resolution stack, indicating that the synaptic pattern is similar in all descending cells.
The ascending neurons are higher-order neurons of a wider field throughout both hemineuropils. These cells are commonly presynaptic and sometimes postsynaptic to R-cells and, hence, play a feedback role in the system.
Furthermore, at the mesoscale level, it is observed that the first visual neuropil is split into two hemineuropils or columns. This is visible in both the SEM images and the three-dimensional reconstructions. The most plausible explanation of this subdivision is that one hemineuropil is linked to the anterior and the other to the posterior eye of the ocular tubercle. Additionally, in the two hemineuropils, at least three different layers of similar thicknesses are observable. In the upper third of the neuropil, the neurites of the unipolar cells enter the neuropil. Here, just a few collaterals were found. In the medium range of the neuropil, a number of things happen: most of the collaterals of the unipolar cells are found here, the branching and bifurcation of the D2 and D3 neurons occurs in this region, and finally the D4 neurons build here their tangential branches that reach into the two hemineuropils. Furthermore, in the medium range of the neuropil, which is analyzed at the microscale level in the high-resolution stack, additionally various synapses occur (whether and where synapses occur in the upper and lower ranges of the neuropil remains unclear at present because these regions were not studied at higher resolution). In the lower third of the neuropil, no more branching or bifurcation occurs, but numerous collaterals are found.
A comparison of our findings with those in other arthropods proves to be difficult, as representatives of only a few taxa have been studied in sufficient detail to allow comparison of neuron morphology. Especially for median eye visual systems, just a few Golgi studies are available.
Hanström  reported for Limulus that neurites with cell bodies around the neuropil enter the median eye neuropil. Some of these neurites end in the arcuate body and some below the arcuate body. Clear statements on the morphology of these cells are lacking, but their position is the same as the descending unipolar cells found here. Strausfeld et al.  reported ascending broad field L-cells in the first median eye neuropil of Cupiennius salei (Araneae) that spread through a roughly circular area equivalent to several R-cells. By comparison, the ascending cells of A. langi also spread through wide reaches of both hemineuropils. The three-dimensional-EM study by Lacalli  of the larval nauplius eye center of the copepod Dactylopusia sp. is quite revealing. Here, the three eyecups of the nauplius eye are connected to the naupliar eye center. This neuropil is subdivided into three cartridges, each receiving R-cell axons from one of the three eyecups. Several second-order unipolar neurons (LR-cells) with cell bodies above the neuropil postsynaptic to the R-cell axons are found. Additionally, higher-order neurons (M- and E-cells) occur in the neuropil. A similar subdivision (two eyes, two hemineuropils) is found here in the first visual neuropil of A. langi. The morphology and synaptic pattern of copepod LR-cells is similar to that of the pycnogonid D-cells, but cells presynaptic to the R-cells, similar to the A-cells in pycnogonids, have not been identified.
The only arthropod visual system studied in great detail so far is that of the lateral compound eyes in some insect and crustacean species, namely three-dimensional-TEM of Drosophila–,, Golgi- and Golgi-EM-studies of insects ,–, and Golgi- and Golgi-EM-studies of crustaceans –. The lamina's (that is, first visual neuropil’s) cell types are best characterized in the fruit fly Drosophila melanogaster, but the principles are similar in other insect species. The R-cells 1 to 6 provide input from each ommatidium and synapse to the lamina cartridges, the functional units of the lamina, which are composed of approximately 13 cells: the processes of five monopolar cells (L1 to L5), one or two amacrine cells, as well as three medulla neurons (C2, C3 and T1) and three glial cells. Additionally, two types of long visual fibers from the ommatidium, R7 and R8, pass the lamina and project to the medulla (second visual neuropil) . In contrast, in crustaceans, R-cells 1 to 7 end in the lamina and R8 in the medulla. Here also, monopolar cells are found with similar characteristics as in insects. However, there is some disagreement about their number and nomenclature ,,.
The synaptic organization in the lamina of Drosophila is studied and reviewed in detail by Meinertzhagen and O'Neil  and by Meinertzhagen and Sorra . In the lamina, the R-cells are predominantly presynaptic to the monopolar cells L1 to L3 and to the amacrine cells. The L-cells in turn have only a few presynaptic sites (to R- and other L-cells) in the lamina. The amacrine cells are frequently presynaptic to R- and L-cells and often to T-cells. Finally, of the medulla neurons, only in C-cells do a few synapses occur, being presynaptic to L-, T-, and amacrine cells; T-cells are free of synapses in the lamina. All of these synapses are often multiple-contact synapses (dyads, triads, and tetrads). In the lamina of the crayfish Pacifastacus leniusculus the R-cells are also presynaptic to the monopolar cells .
Comparison of the synaptic patterns of the different cell types in Achelia langi and Drosophila melanogaster ( Drosophila simplified after Meinertzhagen and Sorra)
→ presynaptic to ↓
C-, T- and amacrine cells
→ presynaptic to ↓
Furthermore, the ascending cells that integrate a wider field of the neuropil are found in both systems as well. In Drosophila there are three types of ascending cells (amacrine cells and the medulla neurons C and T). In Achelia, we found only one not specifically shaped type, but the synaptic pattern of these A-cells resembles the amacrine cells in Drosophila. In both species, these cells are frequently presynaptic to R-cells. However, the amacrine cells in Drosophila are often also presynaptic to T-cells from the medulla (Table 2). The medulla has no counterpart in the pycnogonid brain, and hence this cell type and such connections of the ascending neurons are not observed in Achelia.
Moreover, the synaptic pattern of the R-cells is the same. In both systems, these cells are predominantly presynaptic to the D- and L-cells, respectively, and frequently to the A- and amacrine cells, respectively, and are postsynaptic to the A- and amacrine cells, again, respectively (Table 2).
Finally, in both, the synapses between the different cell types are often multiple-contact synapses (dyads, triads, tetrads, or in pycnogonids even more).
Despite this high degree of correspondence, we think it would be premature to use the term homology for the correspondent cell types (D-/L-cells or A-/amacrine-cells) because only a few species have been analyzed at this level.
Although the pycnogonid visual system is morphologically and physiologically simple, and is found in a group that is positioned far away from insects and crustaceans in the arthropod tree, we found at least a foreshadowing of the principles described for the highly evolved visual systems of these groups. Already, rather than diffusely shaped neurons, distinct neuron types are found that can be characterized by their branching mode, dendrite length, width of the innervated field and their synaptic pattern. The second-order neurons have a distal cell body and descending neurites that are postsynaptic to terminals of the R-cells. These neurites form functional units (two hemineuropils comparable to the columns in insects and crustaceans), and their branches and collaterals at distinct levels make layers. Additionally, second-order neurons of a wider field are found that connect the hemineuropils, or rather, neighboring columns. And finally, higher-order feedback neurons with ascending neurites and branches that diverge to the wider field of the neuropil, being presynaptic to the R-cells, are found. Additional similarities with other arthropod median eye neuropils are found in pycnogonids. These are the position of the neuropil and the innervation pattern by the R-cells ,, as well as the subdivision of the neuropil, with each division responsible for one single eye and the presence of unipolar ascending and descending cells.
To put it in a nutshell, the connectome of the first visual neuropil of the pycnogonid A. langi has a well-organized architecture. It is composed of distinct cell types with characteristic synaptic patterns and already shows principles of the columns and layers design. Additionally, features of both chelicerate median and mandibulate lateral eyes are found in the pycnogonid visual system, indicating that these characters might be plesiomorphies and part of the ground pattern of the Euarthropoda.
Specimens of A. langi (Dohrn, 1881) (Ammotheidae) were collected for FIB-SEM during field trips in May 2011 to Rovinj (Croatia). Specimens of A. vulgaris (Costa, 1861) were collected for the Golgi technique during field trips in 2009 and 2010 to Rovinj. Species were determined following Dohrn  and Bamber .
Focused ion beam/scanning electron microscopy
After dissection of the abdomen, legs, and proboscis in 4% glutardialdehyde in 0.1 M cacodylate buffer at 4°C, the animals were fixed in 4% glutardialdehyde and 1% tannin in 0.1 M cacodylate buffer at 4°C and stored under refrigeration at 4°C. After transportation to the laboratory in Munich, the specimens were osmicated in 1% OsO4 in 0.1 M cacodylate buffer for two hours at 4°C. To enhance contrast, specimens were en bloc stained with 4% uranyl acetate for one hour at room temperature. After dehydration in a graded acetone series, the specimens were embedded in epoxy resin (Glycidether 100; two days at 60°C and one day at 90°C).
Low-resolution stack (transversal view)
To approach the visual neuropils, the specimen was trimmed transversally with a diamond knife on an RMC-MTXL ultramicrotome until just before the visual neuropils appeared. After trimming of a cuboid-shaped `mesa’ containing the pycnogonid brain with a glass knife , this mesa was removed from the epoxy block and mounted on an aluminum stub covered with a thin layer of unpolymerized epoxy resin as glue. The transversal block face was now oriented vertically on the stub, allowing transversal milling of the left neuropils by the FIB. After polymerizing the epoxy resin (one day at 60°C), the stub was coated with carbon with a Balzers High Vacuum Evaporator BAE 121 to make it conductive.
The sample was milled and imaged with a Zeiss Auriga CrossBeam Workstation (Carl Zeiss Microscopy, Oberkochen, Germany). For slicing, the conditions were as follows: 500 pA milling current of the Ga-emitter; with each step, 10 nm of the epoxy resin was removed with the focused ion beam. SEM images (2,048 × 1,536 pixels) were recorded from every third slice at 1.5 kV, resulting in a stack of 682 grayscale images (voxel size 32 × 32 × 30 nm; total volume: 65.5 × 49.2 × 20.5 μm).
Medium-resolution stack (frontal view)
The specimen was prepared and imaged as for the low-resolution stack, with the only difference being that the specimen was trimmed frontally to allow frontal milling of the left first visual neuropil by the FIB. With a milling rate of 5 nm (every third slice recorded), an image stack with 1,031 planes was acquired (voxel size 12 × 12 × 15 nm; total volume: 24.6 × 18.4 × 15.5 μm).
High-resolution stack (frontal view)
The same specimen was used as for the medium-resolution stack. The medium range of the contralateral right first visual neuropil was imaged with FIB-SEM with a milling rate of 5 nm (every third slice recorded, 212 images; voxel size 6 × 6 × 15 nm; total volume: 12.3 × 9.2 × 3.2 μm).
Image editing and three-dimensional reconstruction
The images were contrast-enhanced and sharpened using unsharp masking in Adobe Photoshop® CS5 (Adobe Systems), then aligned, manually segmented and surface rendered in Amira® 5.2.0 (Visualization Sciences Group).
In the medium-resolution stack, the profiles of a representative ensemble of 34 cells were reconstructed. In the high-resolution stack, the profiles of a representative ensemble of 33 cells were reconstructed and presynaptic sites of 95 chemical synapses are localized on the basis of synaptic vesicles. Care was taken that cells postsynaptic to the reconstructed cells were selectively reconstructed as well.
The interactive supplement figure was created following Ruthensteiner and Heß  with updated software.
The abdomen, legs, and proboscis were dissected and the cuticle regions surrounding the central nervous system were perforated to increase the probability of staining the desired areas. The preparations were submitted to two cycles of the Golgi-Colonnier method , embedded in epoxy resin and sectioned (10 to 20 μm).
The profiles of all reconstructed cells are uploaded to Morph D Base . We will also provide original data upon request. The requesting party will need to supply a hard drive.
TL and RRM conceived the study. TL and GW performed the experiments. TL and MH analyzed the data. TL, MH and RRM drafted the manuscript. All authors read and approved the final manuscript.
We thank Silvia Dobler, Heidemarie Gensler, Eva Lodde, and Stefan Friedrich for their expert technical assistance and Hannes Geiselbrecht for his encouraging help with Amira. This study was supported by the Deutsche Forschungsgemeinschaft (DFG Me 2683/6-2).
- Hoffpauir BK, Pope BA, Spirou GA: Serial sectioning and electron microscopy of large tissue volumes for 3D analysis and reconstruction: a case study of the calyx of Held. Nat Protoc. 2007, 2: 9-22. 10.1038/nprot.2007.9.PubMedView ArticleGoogle Scholar
- Anderson JR, Jones BW, Watt CB, Shaw MV, Yang J-H, DeMill D, Lauritzen JS, Lin Y, Rapp KD, Mastronarde D: Exploring the retinal connectome. Mol Vis. 2011, 17: 355-379. 10.3390/molecules17010355.PubMed CentralPubMedView ArticleGoogle Scholar
- Bock DD, Lee W-CA, Kerlin AM, Andermann ML, Hood G, Wetzel AW, Yurgenson S, Soucy ER, Kim HS, Reid RC: Network anatomy and in vivo physiology of visual cortical neurons. Nature. 2011, 471: 177-182. 10.1038/nature09802.PubMed CentralPubMedView ArticleGoogle Scholar
- Cardona A, Saalfeld S, Preibisch S, Schmid B, Cheng A, Pulokas J, Tomancak P, Hartenstein V: An integrated micro-and macroarchitectural analysis of the Drosophila brain by computer-assisted serial section electron microscopy. PLoS Biol. 2010, 8: e1000502-10.1371/journal.pbio.1000502.PubMed CentralPubMedView ArticleGoogle Scholar
- Saalfeld S, Fetter R, Cardona A, Tomancak P: Elastic volume reconstruction from series of ultra-thin microscopy sections. Nat Methods. 2012, 9: 717-720. 10.1038/nmeth.2072.PubMedView ArticleGoogle Scholar
- Macagno ER, Lopresti V, Levinthal C: Structure and development of neuronal connections in isogenic organisms: variations and similarities in the optic system of Daphnia magna. Proc Natl Acad Sci U S A. 1973, 70: 57-61. 10.1073/pnas.70.1.57.PubMed CentralPubMedView ArticleGoogle Scholar
- Meinertzhagen IA, O'Neil SD: Synaptic organization of columnar elements in the lamina of the wild type in Drosophila melanogaster. J Comp Neurol. 1991, 305: 232-263. 10.1002/cne.903050206.PubMedView ArticleGoogle Scholar
- White JG, Southgate E, Thomson JN, Brenner S: The structure of the nervous system of the nematode Caenorhabditis elegans. Philos Trans R Soc Lond B Biol Sci. 1986, 314: 1-340. 10.1098/rstb.1986.0056.PubMedView ArticleGoogle Scholar
- Hall DH, Russell RL: The posterior nervous system of the nematode Caenorhabditis elegans: serial reconstruction of identified neurons and complete pattern of synaptic interactions. J Neurosci. 1991, 11: 1-22.PubMedGoogle Scholar
- Melzer RR, Zimmermann T, Smola U: Modification of dispersal patterns of branched photoreceptor axons and the evolution of neural superposition. Cell Mol Life Sci. 1997, 53: 242-247. 10.1007/PL00000598.View ArticleGoogle Scholar
- Meinertzhagen IA, Sorra KE: Synaptic organization in the fly's optic lamina: few cells, many synapses and divergent microcircuits. Prog Brain Res. 2001, 131: 53-69. 10.1016/S0079-6123(01)31007-5.PubMedView ArticleGoogle Scholar
- Takemura SY, Lu Z, Meinertzhagen IA: Synaptic circuits of the Drosophila optic lobe: the input terminals to the medulla. J Comp Neurol. 2008, 509: 493-513. 10.1002/cne.21757.PubMed CentralPubMedView ArticleGoogle Scholar
- Takemura SY, Bharioke A, Lu Z, Nern A, Vitaladevuni S, Rivlin PK, Katz WT, Olbris DJ, Plaza SM, Winston P: A visual motion detection circuit suggested by Drosophila connectomics. Nature. 2013, 500: 175-181. 10.1038/nature12450.PubMed CentralPubMedView ArticleGoogle Scholar
- Helmstaedter M, Briggman KL, Denk W: 3D structural imaging of the brain with photons and electrons. Curr Opin Neurobiol. 2008, 18: 633-641. 10.1016/j.conb.2009.03.005.PubMedView ArticleGoogle Scholar
- Müller-Reichert T, Mancuso J, Lich B, McDonald K: Three-dimensional reconstruction methods for caenorhabditis elegans ultrastructure. Methods Cell Biol. 2010, 96: 331-361. 10.1016/S0091-679X(10)96015-9.PubMedView ArticleGoogle Scholar
- Briggman KL, Bock DD: Volume electron microscopy for neuronal circuit reconstruction. Curr Opin Neurobiol. 2012, 22: 154-161. 10.1016/j.conb.2011.10.022.PubMedView ArticleGoogle Scholar
- Denk W, Horstmann H: Serial block-face scanning electron microscopy to reconstruct three-dimensional tissue nanostructure. PLoS Biol. 2004, 2: e329-10.1371/journal.pbio.0020329.PubMed CentralPubMedView ArticleGoogle Scholar
- Zankel A, Kraus B, Poelt P, Schaffer M, Ingolic E: Ultramicrotomy in the ESEM, a versatile method for materials and life sciences. J Microsc. 2009, 233: 140-148. 10.1111/j.1365-2818.2008.03104.x.PubMedView ArticleGoogle Scholar
- Gnauck P, Hoffrogge P, Greiser J: New crossbeam inspection tool combining an ultrahigh-resolution field emission SEM and a high-resolution FIB. Proc SPIE. 2002, 4689: 1-8. 10.1117/12.473408.View ArticleGoogle Scholar
- Principe EL: How to use FIB-SEM data for 3-D reconstruction. R&D Magazine. 2005, 6: 29-30.Google Scholar
- Briggman KL, Denk W: Towards neural circuit reconstruction with volume electron microscopy techniques. Curr Opin Neurobiol. 2006, 16: 562-570. 10.1016/j.conb.2006.08.010.PubMedView ArticleGoogle Scholar
- Knott G, Marchman H, Wall D, Lich B: Serial section scanning electron microscopy of adult brain tissue using focused ion beam milling. J Neurosci. 2008, 28: 2959-2964. 10.1523/JNEUROSCI.3189-07.2008.PubMedView ArticleGoogle Scholar
- Helmstaedter M, Briggman KL, Denk W: High-accuracy neurite reconstruction for high-throughput neuroanatomy. Nat Neurosci. 2011, 14: 1081-1088. 10.1038/nn.2868.PubMedView ArticleGoogle Scholar
- Merchan-Perez A, Rodriguez J-R, AlonsoNanclares L, Schertel A, DeFelipe J: Counting synapses using FIB/SEM microscopy: a true revolution for ultrastructural volume reconstruction. Front Neuroanat. 2009, 3: 18-10.3389/neuro.05.018.2009.PubMed CentralPubMedView ArticleGoogle Scholar
- Kreshuk A, Straehle CN, Sommer C, Koethe U, Cantoni M, Knott G, Hamprecht FA: Automated detection and segmentation of synaptic contacts in nearly isotropic serial electron microscopy images. Plos One. 2011, 6: e24899-10.1371/journal.pone.0024899.PubMed CentralPubMedView ArticleGoogle Scholar
- Roncal WG, Kaynig-Fittkau V, Kasthuri N, Berger D, Vogelstein JT, Fernandez LR, Lichtman JW, Vogelstein RJ, Pfister H, Hager GD: Volumetric exploitation of synaptic information using context localization and evaluation. arXiv. 2014, 1403.3724 [cs.CV]: 1-8.Google Scholar
- Arango CP, Wheeler WC: Phylogeny of the sea spiders (Arthropoda, Pycnogonida) based on direct optimization of six loci and morphology. Cladistics. 2007, 23: 255-293. 10.1111/j.1096-0031.2007.00143.x.View ArticleGoogle Scholar
- Rudkin DM, Cuggy MB, Young GA, Thompson DP: An Ordovician pycnogonid (sea spider) with serially subdivided 'Head' region. J Paleontol. 2013, 87: 395-405. 10.1666/12-057.1.View ArticleGoogle Scholar
- Siveter DJ, Sutton MD, Briggs DE: A Silurian sea spider. Nature. 2004, 431: 978-980. 10.1038/nature02928.PubMedView ArticleGoogle Scholar
- Waloszek D, Dunlop JA: A larval sea spider (Arthropoda: Pycnogonida) from the Upper Cambrian `Orsten’ of Sweden, and the phylogenetic position of pycnogonids. Palaeontology. 2002, 45: 421-446. 10.1111/1475-4983.00244.View ArticleGoogle Scholar
- Dunlop JA, Arango CP: Pycnogonid affinities: a review. J Zool Syst Evol Res. 2005, 43: 8-21. 10.1111/j.1439-0469.2004.00284.x.View ArticleGoogle Scholar
- Regier JC, Shultz JW, Zwick A, Hussey A, Ball B, Wetzer R, Martin JW, Cunningham CW: Arthropod relationships revealed by phylogenomic analysis of nuclear protein-coding sequences. Nature. 2010, 463: 1079-1083. 10.1038/nature08742.PubMedView ArticleGoogle Scholar
- Rota-Stabelli O, Daley AC, Pisani D: Molecular timetrees reveal a Cambrian colonization of land and a new scenario for ecdysozoan evolution. Curr Biol. 2013, 23: 392-398. 10.1016/j.cub.2013.01.026.PubMedView ArticleGoogle Scholar
- Legg DA, Sutton MD, Edgecombe GD: Arthropod fossil data increase congruence of morphological and molecular phylogenies. Nat Commun. 2013, 4: 1-7. 10.1038/ncomms3485.View ArticleGoogle Scholar
- Maxmen A, Browne WE, Martindale MQ, Giribet G: Neuroanatomy of sea spiders implies an appendicular origin of the protocerebral segment. Nature. 2005, 437: 1144-1148. 10.1038/nature03984.PubMedView ArticleGoogle Scholar
- Jager M, Murienne J, Clabaut C, Deutsch J, Le Guyader H, Manuel M: Homology of arthropod anterior appendages revealed by Hox gene expression in a sea spider. Nature. 2006, 441: 506-508. 10.1038/nature04591.PubMedView ArticleGoogle Scholar
- Manuel M, Jager M, Murienne J, Clabaut C, Le Guyader H: Hox genes in sea spiders (Pycnogonida) and the homology of arthropod head segments. Dev Genes Evol. 2006, 216: 481-491. 10.1007/s00427-006-0095-2.PubMedView ArticleGoogle Scholar
- Brenneis G, Ungerer P, Scholtz G: The chelifores of sea spiders (Arthropoda, Pycnogonida) are the appendages of the deutocerebral segment. Evol Dev. 2008, 10: 717-724. 10.1111/j.1525-142X.2008.00285.x.PubMedView ArticleGoogle Scholar
- Brenneis G, Stollewerk A, Scholtz G: Embryonic neurogenesis in Pseudopallene sp. (Arthropoda, Pycnogonida) includes two subsequent phases with similarities to different arthropod groups. EvoDevo. 2013, 4: 32-10.1186/2041-9139-4-32.PubMed CentralPubMedView ArticleGoogle Scholar
- Paul DH: A neurophylogenist's view of decapod Crustacea. Bull Mar Sci. 1989, 45: 487-504.Google Scholar
- Harzsch S: Neurophylogeny: architecture of the nervous system and a fresh view on arthropod phyologeny. Integr Comp Biol. 2006, 46: 162-194. 10.1093/icb/icj011.PubMedView ArticleGoogle Scholar
- Strausfeld NJ, Andrew DR: A new view of insect°Crustacean relationships I. Inferences from neural cladistics and comparative neuroanatomy. Arthropod Struct Dev. 2011, 40: 276-288. 10.1016/j.asd.2011.02.002.PubMedView ArticleGoogle Scholar
- Strausfeld NJ: Arthropod Brains: Evolution, Functional Elegance, and Historical Significance. 2012, Harvard University Press, CambridgeGoogle Scholar
- Richter S, Loesel R, Purschke G, Schmidt-Rhaesa A, Scholtz G, Stach T, Vogt L, Wanninger A, Brenneis G, Doring C, Faller S, Fritsch M, Grobe P, Heuer CM, Kaul S, Moller OS, Muller CH, Rieger V, Rothe BH, Stegner ME, Harzsch S: Invertebrate neurophylogeny: suggested terms and definitions for a neuroanatomical glossary. Front Zool. 2010, 7: 29-10.1186/1742-9994-7-29.PubMed CentralPubMedView ArticleGoogle Scholar
- Sokolow I: The structure of the pantopod eyes. Z Wiss Zool. 1911, 98: 339-380.Google Scholar
- Helfer H, Schlottke E: Pantopoda. 1935, Akademische Verlagsgesellschaft m.b.H, LeipzigGoogle Scholar
- Jarvis JH, King PE: Ultrastructure of the photoreceptors in the Pycnogonid species, Nymphon gracile (Leach), and Pycnogonum littorale (Strom). Mar Freshw Behav Physiol. 1973, 2: 1-13. 10.1080/10236247309386912.View ArticleGoogle Scholar
- Heß M, Melzer RR, Smola U: The eyes of a nobody, Anoplodactylus petiolatus (Pantopoda; Anoplodactylidae). Helgol Meeresunters. 1996, 50: 25-36. 10.1007/BF02367135.View ArticleGoogle Scholar
- Lehmann T, Heß M, Melzer RR: Wiring a periscope - ocelli, retinula axons, visual neuropils and the ancestrality of Sea spiders. Plos One. 2012, 7: 30474-10.1371/journal.pone.0030474.View ArticleGoogle Scholar
- Strausfeld NJ, Strausfeld CM, Stowe S, Rowell D, Loesel R: The organization and evolutionary implications of neuropils and their neurons in the brain of the onychophoran Euperipatoides rowelli. Arthropod Struct Dev. 2006, 35: 169-196. 10.1016/j.asd.2006.06.002.PubMedView ArticleGoogle Scholar
- Calman BG, Lauerman MA, Andrews AW, Schmidt M, Battelle BA: Central projections of Limulus photoreceptor cells revealed by a photoreceptor-specific monoclonal antibody. J Comp Neurol. 1991, 313: 553-562. 10.1002/cne.903130402.PubMedView ArticleGoogle Scholar
- Battelle BA: The eyes of Limulus polyphemus (Xiphosura, Chelicerata) and their afferent and efferent projections. Arthropod Struct Dev. 2006, 35: 261-274. 10.1016/j.asd.2006.07.002.PubMedView ArticleGoogle Scholar
- Sporns O, Tononi G, Kötter R: The human connectome: a structural description of the human brain. PLoS Comput Biol. 2005, 1: e42-10.1371/journal.pcbi.0010042.PubMed CentralPubMedView ArticleGoogle Scholar
- Ailamaki A, Alvandpour A, Amunts K, Andreoni W, Ashburner J, Axer M, Baaden M, Badia R: The Human Brain Project: A Report to the European Commission. Lausanne: The HBP-PS Consortium; 2012.Google Scholar
- Human Brain Project. 2014Google Scholar
- Alivisatos AP, Chun M, Church GM, Greenspan RJ, Roukes ML, Yuste R: The brain activity map project and the challenge of functional connectomics. Neuron. 2012, 74: 970-974. 10.1016/j.neuron.2012.06.006.PubMed CentralPubMedView ArticleGoogle Scholar
- BRAIN Initiative. 2014Google Scholar
- Bear MF, Connors BW, Paradiso MA: Neuroscience - Exploring the Brain. 2007, Lippincott Williams & Wilkins, PhiladelphiaGoogle Scholar
- Bullock TH, Horridge GA: Structure and Function in the Nervous Systems of Invertebrates. 1965, W. H. Freeman and Company, San FranciscoGoogle Scholar
- Homberg U: Evolution of the central complex in the arthropod brain with respect to the visual system. Arthropod Struct Dev. 2008, 37: 347-362. 10.1016/j.asd.2008.01.008.PubMedView ArticleGoogle Scholar
- Hanström B: Das Nervensystem und die Sinnesorgane von Limulus polyphemus. Lunds Universitets Årsskrift. 1926, 22: 1-79.Google Scholar
- Strausfeld NJ, Weltzien P, Barth FG: Two visual systems in one brain: neuropils serving the principal eyes of the spider Cupiennius salei. J Comp Neurol. 1993, 328: 63-75. 10.1002/cne.903280105.PubMedView ArticleGoogle Scholar
- Lacalli TC: Serial EM analysis of a copepod larval nervous system: Naupliar eye, optic circuitry, and prospects for full CNS reconstruction. Arthropod Struct Dev. 2009, 38: 361-375. 10.1016/j.asd.2009.04.002.PubMedView ArticleGoogle Scholar
- Sprecher SG, Cardona A, Hartenstein V: The Drosophila larval visual system: high-resolution analysis of a simple visual neuropil. Dev Biol. 2011, 358: 33-43. 10.1016/j.ydbio.2011.07.006.PubMedView ArticleGoogle Scholar
- Cajal SR, Sanchez D: Contribucion al conocimiento de los centros nerviosos de los insectos. Parte I: retina y centros opticos. Trabajos del Laboratorio de Investigaciones Biológicas de la Universidad de Madrid. 1915, 13: 1-168.Google Scholar
- Strausfeld NJ, Campos-Ortega JA: The L4 monopolar neurone: a substrate for lateral interaction in the visual system of the fly Musca domestica (L). Brain Res. 1973, 59: 97-117. 10.1016/0006-8993(73)90254-0.PubMedView ArticleGoogle Scholar
- Campos-Ortega JA, Strausfeld NJ: Synaptic connections of intrinsic cells and basket arborizations in the external plexiform layer of the fly's eye. Brain Res. 1973, 59: 119-136. 10.1016/0006-8993(73)90255-2.PubMedView ArticleGoogle Scholar
- Fischbach KF, Dittrich AP: The optic lobe of Drosophila melanogaster. I. A Golgi analysis of wild-type structure. Cell Tissue Res. 1989, 258: 441-475. 10.1007/BF00218858.View ArticleGoogle Scholar
- Hafner GS: The neural organization of the lamina ganglionaris in the crayfish: a Golgi and EM study. J Comp Neurol. 1973, 152: 255-279. 10.1002/cne.901520304.PubMedView ArticleGoogle Scholar
- Nässel DR: The organization of the lamina ganglionaris of the prawn, Pandalus borealis (Kröyer). Cell Tissue Res. 1975, 163: 445-464. 10.1007/BF00218491.PubMedView ArticleGoogle Scholar
- Nässel DR, Waterman TH: Golgi EM evidence for visual information channelling in the crayfish lamina ganglionaris. Brain Res. 1977, 130: 556-563. 10.1016/0006-8993(77)90118-4.View ArticleGoogle Scholar
- Stowe S, Ribi WA, Sandeman DC: The organisation of the lamina ganglionaris of the crabs Scylla serrata and Leptograpsus variegatus. Cell Tissue Res. 1977, 178: 517-532. 10.1007/BF00219572.PubMedView ArticleGoogle Scholar
- Nässel DR, Elofsson R, Odselius R: Neuronal connectivity patterns in the compound eyes of Artemia salina and Daphnia magna (Crustacea: Branchiopoda). Cell Tissue Res. 1978, 190: 435-457. 10.1007/BF00219557.PubMedView ArticleGoogle Scholar
- Nässel DR: Types and arrangements of neurons in the crayfish optic lamina. Cell Tissue Res. 1977, 179: 45-75.PubMedGoogle Scholar
- Sztarker J, Strausfeld NJ, Andrew DR, Tomsic D: Neural organization of first optic neuropils in the littoral crab Hemigrapsus oregonensis and the semiterrestrial species Chasmagnathus granulatus. J Comp Neurol. 2009, 513: 129-150. 10.1002/cne.21942.PubMedView ArticleGoogle Scholar
- Lehmann T, Melzer RR: Looking like Limulus? - Retinula axons and visual neuropils of the median and lateral eyes of scorpions. Front Zool. 2013, 10: 40-10.1186/1742-9994-10-40.PubMed CentralPubMedView ArticleGoogle Scholar
- Dohrn A: Die Pantopoden des Golfes von Neapel und der angrenzenden Meeresabschnitte. Monographie der Fauna und Flora des Golfes von Neapel. 1881, 3: 1-252.Google Scholar
- Bamber RN: Sea-spiders (Pycnogonida) of the North-East Atlantic: Keys and Notes for Identification the Species. 2010, Linnean Society of London by Field Studies Council, LondonGoogle Scholar
- Hayat MA: Principles and Techniques of Electron Microscopy: Biological Applications. 2000, Cambridge University Press, CambridgeGoogle Scholar
- Ruthensteiner B, Heß M: Embedding 3D models of biological specimens in PDF publications. Microsc Res Tech. 2008, 71: 778-786. 10.1002/jemt.20618.PubMedView ArticleGoogle Scholar
- Colonnier M: The tangential organization of the visual cortex. J Anat. 1964, 98: 327-344.PubMed CentralPubMedGoogle Scholar
- Lehmann T: T_Lehmann_20140718-M-3.1. 2014., (https://www.morphdbase.de?T_Lehmann_20140718-M-3.1)
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