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264 results for “3D Reconstruction”
Dataset related to aticle "Additive Fabrication of a Vascular 3D Phantom for Stereotactic Radiosurgery of Arteriovenous Malformations"The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.
<p><em>The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.</em></p>
DataSet: Structural and optical properties of gold nanosponges revealed via 3D nano-reconstruction and phase-field models
<p>These are the main raw and processed data for the publication "Structural and optical properties of gold nanosponges revealed<br> via 3D nano-reconstruction and phasefield models".</p> <p>Abstract:<br> Nanoporous gold nanoparticles are subject of intensive research due to their unique morphology, which leads to electric field localizations generating a strongly nonlinear optical response, allowing a wide range of applications. However, accurate predictions of physical properties require detailed knowledge of the sponges’ chaotic nanometer-sized geometrical structures, posing a metrological challenge. Therefore, a main goal is to obtain computer models with equivalent structural and optical properties. To understand the sponges’ morphology, a procedure for their accurate three-dimensional reconstruction using focused ion beam tomography is presented. Next, a small number of morphological key parameters is derived that sufficiently characterize the complex topology. Additionally, a new simulation method for the computer-aided creation of finite-sized sponges with adjustable geometric properties is presented. It is shown that if certain morphological parameters are similar for computer-generated and experimental sponges, their optical response, including number and locations of field localizations, are also similar. Finally, the anisotropy of the experimental sponges is analyzed and an easy-to-use procedure to replicate arbitrary anisotropies in computer-generated sponges is presented.</p>
Scan files, 3D reconstructions, data spreadsheet and supplementary files for Heterochrony and parallel evolution of echinoderm, hemichordate and cephalochordate internal bars
<p><span>Deuterostomes comprise three phyla with radically different body plans. Phylogenetic bracketing of the living deuterostome clades suggests the latest common ancestor of echinoderms, hemichordates and chordates was a bilaterally symmetrical worm with pharyngeal openings, with these characters lost in echinoderms. Early fossil echinoderms with pharyngeal openings have been described, but their interpretation is highly controversial. Here, we critically evaluate the evidence for pharyngeal structures (gill bars) in the extinct stylophoran echinoderms <em>Lagynocystis pyramidalis</em> and <em>Jaekelocarpus oklahomensis</em> using virtual models based on high-resolution X-ray tomography scans of three-dimensionally preserved fossil specimens. Multivariate analyses of the size, spacing and arrangement of the internal bars in these fossils indicate they are substantially more similar to gill bars in modern enteropneust hemichordates and cephalochordates than to other internal bar-like structures in fossil blastozoan echinoderms. The close similarity between the internal bars of the stylophorans <em>L. pyramidalis</em> and <em>J. oklahomensis</em> and the gill bars of extant chordates and hemichordates is strong evidence for their homology. Differences between these internal bars and bar-like elements of the respiratory systems in blastozoans suggest these structures might have arisen through parallel evolution across deuterostomes, perhaps underpinned by a common developmental genetic mechanism.</span></p>
3D reconstruction of an NIH/3T3 mouse fibroblast cell imaged by the SXT-100.
<p>This dataset (*.mrc file) is a reconstructed 3D volume obtained by soft X-ray tomography on NIH/3T3 cells. The cells were grown on a 200 mesh 3.05 mm EM finder grid with a Quantifoil Holey Carbon support. The sample was vitrified by plunge-freezing in liquid ethane. The tomogram was collected with a pixel size of 28.85 nm over the tilt range from -53 to 53.5 degrees with 1.5 deg step size and 116 s exposure per tilt.</p>
Trackerless 3D Freehand Ultrasound Reconstruction Challenge 2024 - Train Dataset (Part 3)
<div> <blockquote> <p><strong>This Challenge will be an open-ended challenge, and we welcome your submission. Please register your team via this <a title="https://forms.office.com/e/dPg47ktV7M" href="https://forms.office.com/e/dPg47ktV7M" target="_blank" rel="noopener">form</a>. You can submit the algorithm via this <a title="https://forms.office.com/e/QChhNkLYiu" href="https://forms.office.com/e/QChhNkLYiu" target="_blank" rel="noopener noreferrer">form</a> for TUS-REC2024 Challenge, and we will test your submitted docker on the test set.</strong></p> <p><strong>We are organising TUS-REC2025 at MICCAI2025. More information is available on the <a href="https://github-pages.ucl.ac.uk/tus-rec-challenge/" target="_blank" rel="noopener">TUS-REC2025 challenge website</a> and <a href="https://github.com/QiLi111/TUS-REC2025-Challenge_baseline" target="_blank" rel="noopener">Baseline code repo</a>.</strong></p> </blockquote> <p><strong>This is the third part of the Challenge dataset. <a href="../doi/10.5281/zenodo.11178509" target="_blank" rel="noopener">Link</a> to first part; <a href="../doi/10.5281/zenodo.11180795" target="_blank" rel="noopener">Link</a> to second part. <a href="../doi/10.5281/zenodo.12979481" target="_blank" rel="noopener">Link</a> to validation dataset.</strong></p> <p>For detailed information please refer to the <a href="https://github-pages.ucl.ac.uk/tus-rec-challenge/TUS-REC2024/" target="_blank" rel="noopener">Challenge website</a>. Baseline code is also provided, which can be found at this <a href="https://github.com/QiLi111/tus-rec-challenge_baseline" target="_blank" rel="noopener">repo</a>.</p> <p>Dataset structure: The dataset contains 50 .h5 files. Each corresponds to one subject, storing coordinates of landmarks for 24 scans of this subject. For each scan, the coordinates are stored in numpy array with shape of [20,3]. The first column is the index of frames; the second and third columns denote the coordinates of landmarks in the image coordinate system. </p> </div> <div> <p> </p> <p><strong>Data Usage Policy:</strong></p> <ul> <li>The training and validation data provided may be utilized within the research scope of this challenge and in subsequent research-related publications. However, commercial use of the training and validation data is prohibited. In cases where the intended use is ambiguous, participants accessing the data are requested to abstain from further distribution or use outside the scope of this challenge.</li> <li>If you use our dataset in your publication, please cite the challenge paper and some of the following optional articles: <ul> <li>Challenge paper: <ul> <li><strong>Qi Li et al. "TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker." <em>arXiv preprint arXiv:<a title="https://arxiv.org/abs/2506.21765" href="https://doi.org/10.48550/arXiv.2506.21765" target="_blank" rel="noopener">2506.21765</a></em> (2025).</strong></li> </ul> </li> <li>Optional articles: <ul> <li>Qi Li, Ziyi Shen, Qianye Yang, Dean C. Barratt, Matthew J. Clarkson, Tom Vercauteren, and Yipeng Hu. "Nonrigid Reconstruction of Freehand Ultrasound without a Tracker." In <em>International Conference on Medical Image Computing and Computer-Assisted Intervention</em>, pp. 689-699. Cham: Springer Nature Switzerland, 2024. doi: <a href="https://doi.org/10.1007/978-3-031-72083-3_64" target="_blank" rel="noopener">10.1007/978-3-031-72083-3_64.</a></li> <li>Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, and Yipeng Hu. "Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker." IEEE Transactions on Biomedical Engineering, vol. 71, no. 3, pp. 1033-1042, 2024. doi: <a href="https://ieeexplore.ieee.org/abstract/document/10288201" target="_blank" rel="noopener">10.1109/TBME.2023.3325551</a>.</li> <li>Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, and Yipeng Hu. "Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames." In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp. 1-5. IEEE, 2023. doi: <a href="https://doi.org/10.1109/ISBI53787.2023.10230773" target="_blank" rel="noopener">10.1109/ISBI53787.2023.10230773.</a></li> <li>Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, and Yipeng Hu. "Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction." In International Workshop on Advances in Simplifying Medical Ultrasound, pp. 142-151. Cham: Springer Nature Switzerland, 2023. doi: <a href="https://doi.org/10.1007/978-3-031-44521-7_14" target="_blank" rel="noopener">https://doi.org/10.1007/978-3-031-44521-7_14.</a></li> </ul> </li> </ul> </li> </ul> </div>
FIGURE 8. Reconstructed cast and 3D in A novel feeding mechanism of diplodocid sauropods revealed in an Apatosaurine skull from the Upper Jurassic Nail Quarry (Morrison Formation) at Como Bluff, Wyoming, USA
FIGURE 8. Reconstructed cast and 3D model of the braincase of TATE-099 in dorsal view (A, B), ventral view (C, D), posterior view (E, F), right lateral view (G, H), and left lateral view (I, J). Scale bar equals 10 cm. Abb: bo, basoccipital; bpr, basipterygoid process; bs, basisphenoid; bt, basal tuber; cpr, crista prootica; eo, exoccipital-opithsotic; f, frontal; fm, foramen magnum; p, parietal; pas, parasphenoid; pft, posttemporal fenestra; po, postorbital; popr, paroccipital process; so, supraoccipital; snc, sagittal nuchal crest; stf, supratemporal fenestra.
Trackerless 3D Freehand Ultrasound Reconstruction Challenge 2024 - Validation Dataset
<blockquote> <p><strong>This Challenge will be an open-ended challenge, and we welcome your submission. Please register your team via this <a title="https://forms.office.com/e/dPg47ktV7M" href="https://forms.office.com/e/dPg47ktV7M" target="_blank" rel="noopener">form</a>. You can submit the algorithm via this <a title="https://forms.office.com/e/QChhNkLYiu" href="https://forms.office.com/e/QChhNkLYiu" target="_blank" rel="noopener noreferrer">form</a> for TUS-REC2024 Challenge, and we will test your submitted docker on the test set.</strong></p> <p><strong>We are organising TUS-REC2025 at MICCAI2025. More information is available on the <a href="https://github-pages.ucl.ac.uk/tus-rec-challenge/" target="_blank" rel="noopener">TUS-REC2025 challenge website</a> and <a href="https://github.com/QiLi111/TUS-REC2025-Challenge_baseline" target="_blank" rel="noopener">Baseline code repo</a>.</strong></p> </blockquote> <p><strong>This is the validation dataset. The training dataset is available at <a href="../doi/10.5281/zenodo.11178508" target="_blank" rel="noopener">Part1</a>, <a href="../doi/10.5281/zenodo.11180795" target="_blank" rel="noopener">Part2</a>, and <a href="../doi/10.5281/zenodo.11355499" target="_blank" rel="noopener">Part3</a>.</strong></p> <p>Acquisition devices and config: The 2D US images were acquired using an Ultrasonix machine (BK, Europe) with a curvilinear probe (4DC7-3/40). The associated position information of each frame was recorded by an optical tracker (NDI Polaris Vicra, Northern Digital Inc., Canada). The acquired US frames were recorded at 20 fps, with an image size of 480×640, without speckle reduction. The frequency was set at 6MHz with a dynamic range of 83 dB, an overall gain of 48% and a depth of 9 cm. </p> <div> <p>Scanning protocol: Both left and right forearms of volunteers were scanned. For each forearm, the US probe moves in three different trajectories (straight line shape, "C" shape, and "S" shape), in a distal-to-proximal direction followed by a proximal-to-distal direction, with the US plane perpendicular of and parallel to the scanning direction. The validation dataset contains 72 scans in total, 24 scans associated with each subject.</p> <p>For detailed information please refer to the <a href="https://github-pages.ucl.ac.uk/tus-rec-challenge/TUS-REC2024/" target="_blank" rel="noopener">Challenge website</a>. Baseline code is also provided, which can be found at this <a href="https://github.com/QiLi111/tus-rec-challenge_baseline" target="_blank" rel="noopener">repo</a>.</p> <p>Dataset structure: </p> <ul> <li>Folder <code>frames</code>: contains three folders (one subject per folder), each with 24 scans. Each .h5 file corresponds to one scan, storing image of each frame within this scan. Key-value pair and name of each .h5 file are explained below. <ul> <li>“frames” - All frames in the scan; with a shape of [N,H,W], where N refers to the number of frames in the scan, H and W denote the height and width of a frame. </li> <li>Notations in the name of each .h5 file: “RH”: right arm; “LH”: left arm; “Per”: perpendicular; “Par”: parallel; “L”: straight line shape; “C”: C shape; “S”: S shape; “DtP”: distal-to-proximal direction; “PtD”: proximal-to-distal direction; For example, “RH_Per_L_DtP.h5” denotes a scan on the right forearm, with ultrasound probe perpendicular of the forearm sweeping along straight line, in distal-to-proximal direction.</li> </ul> </li> </ul> </div> <div> <ul> <li>Folder <code>transfs</code>: contains three folders (one subject per folder), each with 24 scans. Each .h5 file corresponds to one scan, storing transformation of each frame within this scan. Key-value pair and name of each .h5 file are explained below. <ul> <li>“tforms” - All transformations in the scan; with a shape of [N,4,4], where N is the number of frames in the scan, and the transformation matrix denotes the transformation from tracker tool space to camera space. </li> <li>Notations in the name of each .h5 file is the same as in folder <code>frames</code>.</li> </ul> </li> <li>Folder <code>landmark</code>: contains three .h5 files. Each corresponds to one subject, storing coordinates of landmarks for 24 scans of this subject. For each scan, the coordinates are stored in numpy array with a shape of [20,3]. The first column is the index of frame; the second and third columns denote the coordinates of landmarks in the image coordinate system.</li> <li><code>calib_matrix.csv</code>: The calibration matrix was obtained using a pinhead-based method. The "scaling_from_pixel_to_mm" and "spatial_calibration_from_image_coordinate_system_to_tracking_tool_coordinate_system" are provided in the “calib_matrix.csv”.</li> <li><code>dataset_keys.h5</code>: stores the paths to all the scans of the data set. Keys in “dataset_keys.h5” denotes all the available scans in validation set, in a format of “sub%03d__%s” where %03d denotes folder name, and %s denotes the scan name. For example, “sub050__LH_Par_C_DtP” means the scan in folder “050”, with file name of “LH_Par_C_DtP.h5”</li> </ul> <div> <p><strong>Data Usage Policy:</strong></p> <ul> <li>The training and validation data provided may be utilized within the research scope of this challenge and in subsequent research-related publications. However, commercial use of the training and validation data is prohibited. In cases where the intended use is ambiguous, participants accessing the data are requested to abstain from further distribution or use outside the scope of this challenge.</li> <li><span>If you use our dataset in your publication, </span>please cite the challenge paper and some of the following optional articles: <ul> <li>Challenge paper: <ul> <li><strong>Qi Li et al. "TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker." <em>arXiv preprint arXiv:<a title="https://arxiv.org/abs/2506.21765" href="https://doi.org/10.48550/arXiv.2506.21765" target="_blank" rel="noopener">2506.21765</a></em> (2025).</strong></li> </ul> </li> <li>Optional articles:<br> <ul> <li>Qi Li, Ziyi Shen, Qianye Yang, Dean C. Barratt, Matthew J. Clarkson, Tom Vercauteren, and Yipeng Hu. "Nonrigid Reconstruction of Freehand Ultrasound without a Tracker." In <em>International Conference on Medical Image Computing and Computer-Assisted Intervention</em>, pp. 689-699. Cham: Springer Nature Switzerland, 2024. doi: <a href="https://doi.org/10.1007/978-3-031-72083-3_64" target="_blank" rel="noopener">10.1007/978-3-031-72083-3_64.</a></li> <li>Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, and Yipeng Hu. "Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker." IEEE Transactions on Biomedical Engineering, vol. 71, no. 3, pp. 1033-1042, 2024. doi: <a href="https://ieeexplore.ieee.org/abstract/document/10288201" target="_blank" rel="noopener">10.1109/TBME.2023.3325551</a>.</li> <li>Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, and Yipeng Hu. "Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames." In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp. 1-5. IEEE, 2023. doi: <a href="https://doi.org/10.1109/ISBI53787.2023.10230773" target="_blank" rel="noopener">10.1109/ISBI53787.2023.10230773.</a></li> <li>Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, and Yipeng Hu. "Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction." In International Workshop on Advances in Simplifying Medical Ultrasound, pp. 142-151. Cham: Springer Nature Switzerland, 2023. doi: <a href="https://doi.org/10.1007/978-3-031-44521-7_14" target="_blank" rel="noopener">https://doi.org/10.1007/978-3-031-44521-7_14.</a></li> </ul> </li> </ul> </li> </ul> </div> </div>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 3. Augmented Reality with archaeological stratigraphy (a prehistoric house and a Roman villa reconstructed in 3D)
<p>The third stage was represented by the 3D virtual reconstruction process of the historical contexts, in our case a prehistoric village and a complete Roman villa rustica, with the help of students from the Design Department, NUA, coordinated by Professor Arch. Andreea Hasnaş. The AR application was created and tested on two commercial AR platforms, Layar and Junaio, and recently moved on the Aurasma platform (https://www.aurasma.com/). The POIs were augmented with the 3D virtual reconstructions, and also with 2D images and videos representing 3D virtual tours and technological processes (Figures 3, 4, 5). The AR application was connected to teachers’ emails and to Twitter, Facebook and Google+ project’s pages. </p>
HRAS_GFP zebrafish Embryo z-stack and 3D reconstruction visualized through LSFM
<p>A 2dpf zebrafish larvae is imaged through a custom developed LSFM setup developed at ICFO, at the Super-resolution Light microscopy and Nanoscopy (SLN) facility, with a resolution of 1 um, and with a double illumnation scheme.</p> <p>Pixel size is 0.43 um. Voxel depth is 2 um.</p> <p>The transgenic line is expressing HRAS_GFP labeling.</p> <p>The z-stack and corresponding 3D reconstruction are showed.</p> <p> </p> <p> </p>
Fig. 1 in 3D-reconstruction of the female of fossil Revelieria groehni Sergi, Perkovsky et Reike, 2013 (Coleoptera: Latridiidae) from Eocene Baltic amber
Fig. 1. Photomicrographs of Revelieria groehni, female, Baltic amber, JDC9116 [JDC], habitus: A – dorsolateral view; B – ventrolateral view.
Fig. 3. X in 3D-reconstruction of the female of fossil Revelieria groehni Sergi, Perkovsky et Reike, 2013 (Coleoptera: Latridiidae) from Eocene Baltic amber
Fig. 3. Xray mCT renderings of Revelieria groehni, female, Baltic amber, JDC9116 [JDC], details of forebody: A – dorsal view; B – ventral view.
Fig. 2. X in 3D-reconstruction of the female of fossil Revelieria groehni Sergi, Perkovsky et Reike, 2013 (Coleoptera: Latridiidae) from Eocene Baltic amber
Fig. 2. Xray mCT renderings of Revelieria groehni, female, Baltic amber, JDC9116 [JDC], habitus: A – dorsal view; B – ventral view; C – left lateral view.
Fig. 6. 3D reconstructed male gnathopod 2 in Description of a new species of Quadrivisio Stebbing, 1907, from Songkhla Lake, Thailand (Crustacea: Peracarida: Amphipoda: Maeridae)
Fig. 6. 3D reconstructed male gnathopod 2 of Quadrivisio meufong, new species, male 13.5 mm, PSUZC-CR 0302. A, overall image of carpus, propodus, and dactylus of the male gnathopod 2; B, magnified, proximal view of the expanded palm cuticle. Arrow heads indicate expanded palm structure; oc, outer layer of cuticle; ic, inner layer of cuticle. Scale bars = 0.1 mm.
FIG. 3 in (Mammalia, Primates, Hominoidea): virtual reconstruction and 3D analysis of a juvenile mandibular dentition (RPl-82 and RPl-83)
FIG. 3. — μCT-based comparative enamel thickness and dentine shape variation of the lower deciduous second molar (m2) and permanent first molar (M1) in Ouranopithecus Bonis & Melentis, 1877, Homo Linnaeus, 1758, Pan Oken, 1816, and Gorilla Saint-Hillaire, 1853. Crowns have been digitally isolated from roots and are shown in lingual, occlusal, and buccal views. The enamel thickness topographic variation (upper row for each taxon) is rendered by a thickness-related grey scale (ranging from "thin" light to "thick" dark), specific for each investigated tooth. Isolated dark spots correspond to cuspal dental wear. Dentine partial volume (lower rows) is virtually rendered by enamel transparency. Scale bar: 5 mm.
FIG. 1 in (Mammalia, Primates, Hominoidea): virtual reconstruction and 3D analysis of a juvenile mandibular dentition (RPl-82 and RPl-83)
FIG. 1. — μCT-based 3D virtual reconstruction of the juvenile Ouranopithecus Bonis & Melentis, 1977 partial mandible bearing a mixed dentition from the late Miocene site of Ravin de la Pluie (Macedonia, Greece). The two portions, RPl-82 (left partial ramus) and RPl-83 (right partial ramus), are here shown in frontal view: A, RPl-83; B, RPl-82; C, D, RPl-83 and RPl-82 rendered in semi-transparency with indication of the deciduous and permanent dental elements preserved in situ. Abbreviations: see text. Scale bar: 10 mm.
FIG. 2 in (Mammalia, Primates, Hominoidea): virtual reconstruction and 3D analysis of a juvenile mandibular dentition (RPl-82 and RPl-83)
FIG. 2. — μCT-based virtual sections of six deciduous (Li2, Lc, Rc, Lm1, Rm1, Rm2) and eight permanent tooth crowns (LI2, RI2, LC, RC, LP3, RP3, RP4, RM1) from the juvenile Ouranopithecus Bonis & Melentis, 1977 partial mandible (RPl-82 and RPl-83). Abbreviations: see text; BL, buccolingual; BLm, buccolingual through the mesial cusps; BLd, buccolingual through the distal cusps; MD, mediodistal; MDl, mesiodistal through the lingual cusps; MDb, mesiodistal through the buccal cusps. Scale bar: 1 cm.
FIG. 7 in Between Vanuatu tides: 3D anatomical reconstruction of a new brackish water acochlidian gastropod from Espiritu Santo
FIG. 7. — Transverse histological sections of Pseudunela espiritusanta n. sp.: A, pharynx with radula, penis, basal finger; B, salivary gland, buccal ganglion; C, sphincter; D, sperm storing receptacles. Abbreviations: am, ampulla; bf, basal finger; bg, buccal ganglion; ed, ejaculatory duct; gog, gastro-oesophageal ganglion; oe, oesophagus; p, penis; ph, pharynx; ppd, paraprostatic duct; pr, prostate; r, radula; rs, receptaculum seminis; s, sphincter; sgd, salivary gland duct; sgl, salivary gland; st, stylet of basal finger; vd, vas deferens. Scale bars: A-C, 100 μm; D, 25 μm.
FIG. 6 in Between Vanuatu tides: 3D anatomical reconstruction of a new brackish water acochlidian gastropod from Espiritu Santo
FIG. 6. — Reproductive system of Pseudunela espiritusanta n. sp. (schematic drawing). Abbreviations: alg, albumen gland; am, ampulla; bc, bursa copulatrix; bf, basal finger; do, oviduct; ed, ejaculatory duct; fgo, female gonopore;meg, membrane gland; mgo, male gonopore; mug, mucus gland; ov, ovotestis; p, penis; ppd, paraprostatic duct; ppr, paraprostate; pr, prostate; ps, penial sheath; pst, penial stylet; rs, receptaculum seminis; s, sphincter; st, stylet of basal finger; vd, vas deferens; vdp, posterior-leading vas deferens. Not to scale.
FIG. 5. — 3D in Between Vanuatu tides: 3D anatomical reconstruction of a new brackish water acochlidian gastropod from Espiritu Santo
FIG. 5. — 3D reconstruction of the circulatory, excretory and reproductive systems of Pseudunela espiritusanta n. sp.: A, circulatory and excretory systems, right view; B, complete reproductive system, dorsolateral view from right; C, nidamental glands, sperm storing receptacles and sphincter, right view; D, anterior male copulatory organs, left view. Abbreviations: alg, albumen gland; am, ampulla; ao, aorta; bc, bursa copulatrix; bf, basal finger; do, oviduct; ed, ejaculatory duct; h, heart; k, kidney; meg, membrane gland; mug, mucus gland; ndd, nephroduct dorsal branch; ndv, nephroduct ventral branch; np, nephropore; ov, ovotestis; p, penis; pc, pericardium; ppd, paraprostatic duct; ppr, paraprostate; pr, prostate; pst, penial stylet; rpd, renopericardioduct; rs, receptaculum seminis; s, sphincter; st, stylet of basal finger; vd, vas deferens; vdp, posterior-leading vas deferens. Scale bars: 200 μm.
FIG. 4 in Between Vanuatu tides: 3D anatomical reconstruction of a new brackish water acochlidian gastropod from Espiritu Santo
FIG. 4. — Radula of Pseudunela espiritusanta n. sp., SEM-micrographs: A, row of radular teeth; B, rhachidian teeth, right view; C, rhachidian tooth, anterior view; D, right lateral teeth, arrow points to blunt protrusion; E, left lateral teeth. Abbreviations: cc, central cusp; d, denticle; ltl, left lateral tooth; ltr1, first right lateral tooth; ltr2, second right lateral tooth; n, notch; 1-4, lateral denticle on rhachidian tooth. Scale bars: 10 μm.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.