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7 results for “insect labeling”
Рис. 3. Platarctia ornata: 1–4 — имаго, виΑ сверху (1, 2 — самцы; 3, 4 — самки); 5–10 — гусеницы сеΑьмого возраста (5, 6 — форма с черными и рыжими воΛосками; 7, 8 — форма с рыжими воΛосками; 9, 10 — форма с черными воΛосками); 11 — кокон; 12–14 — кукоΛка; 15 — неΑавно отроΑившийся самец. 5, 7, 9, 13 — виΑ сбоку; 6, 8, 10, 14 — виΑ сверху; 12 — виΑ снизу. Δанные сбора имаго: 1 — Буреинский заповеΑник, 4 км В корΑона «Новый МеΑвежий», 1400 м наΑ ур. м., 24.06.2014; 2, 3 — Буреинский заповеΑник, корΑон «Новый МеΑвежий», ex pupa 12–13.09.2018; 4 — там же, 4.07.2018 Fig. 3. Platarctia ornata: 1–4 — imago, dorsal view (1, 2 — males; 3, 4 — females); 5–10 — seventh instar larvae (5, 6 — with black and red hairs; 7, 8 — with red hairs; 9, 10 — with black hairs only); 11 — cocoon; 12–14 — pupа; 15 — newly emerged male. 5, 7, 9, 13 — lateral view; 6, 8, 10, 14 — dorsal view; 12 — ventral view. Data labels for imago insects: 1 — Bureinsky State Nature Reserve, 4 km E Novyi Medvezhii cordon, 1400 m above sea level, 24.06.2014; 2, 3 — Bureinsky State Nature Reserve, Novyi Medvezhii cordon, ex pupa 12–13.09.2018; 4 — same location, 4.07.2018 in Moths (Lepidoptera, Macroheterocera, Excluding Geometridae And Noctuidae S.L.) Of The Bureinsky State Nature Reserve And Adjacent Territories (Khabarovsk Krai, Russia)
Рис. 3. Platarctia ornata: 1–4 — имаго, виΑ сверху (1, 2 — самцы; 3, 4 — самки); 5–10 — гусеницы сеΑьмого возраста (5, 6 — форма с черными и рыжими воΛосками; 7, 8 — форма с рыжими воΛосками; 9, 10 — форма с черными воΛосками); 11 — кокон; 12–14 — кукоΛка; 15 — неΑавно отроΑившийся самец. 5, 7, 9, 13 — виΑ сбоку; 6, 8, 10, 14 — виΑ сверху; 12 — виΑ снизу. Δанные сбора имаго: 1 — Буреинский заповеΑник, 4 км В корΑона «Новый МеΑвежий», 1400 м наΑ ур. м., 24.06.2014; 2, 3 — Буреинский заповеΑник, корΑон «Новый МеΑвежий», ex pupa 12–13.09.2018; 4 — там же, 4.07.2018 Fig. 3. Platarctia ornata: 1–4 — imago, dorsal view (1, 2 — males; 3, 4 — females); 5–10 — seventh instar larvae (5, 6 — with black and red hairs; 7, 8 — with red hairs; 9, 10 — with black hairs only); 11 — cocoon; 12–14 — pupа; 15 — newly emerged male. 5, 7, 9, 13 — lateral view; 6, 8, 10, 14 — dorsal view; 12 — ventral view. Data labels for imago insects: 1 — Bureinsky State Nature Reserve, 4 km E Novyi Medvezhii cordon, 1400 m above sea level, 24.06.2014; 2, 3 — Bureinsky State Nature Reserve, Novyi Medvezhii cordon, ex pupa 12–13.09.2018; 4 — same location, 4.07.2018
Dataset of ""Statistical atlases and automatic labelling strategies to accelerate the analysis of social insect brain evolution"
<p>Dataset of <em>Statistical atlases and automatic labelling strategies to accelerate the analysis of social insect brain evolution</em> by Sara Arganda, Ignacio Arganda-Carreras, Darcy G. Gordon, Andrew P. Hoadley, Alfonso Pérez-Escudero, Martin Giurfa and James F. A. Traniello.</p> <p>In this dataset, we are presenting:</p> <ul> <li>10 confocal brain images from <em>Pheidole spadonia </em>minors (in the original confocal TIFF format and in the open NRRD format), with manually segmented labels of 8 subregions (Optic Lobes, OL; Antennal Lobes, AL; Mushroom Body Medial Calyx, MB-MC; Mushroom Body Lateral Calyx, MB-LC; Mushroom Body Peduncle, MB-P; Central Complex, CX; Subesophageal zone, SEZ; and Rest of Central Brain, ROCB – in NRRD format) from one expert annotator.</li> <li>12 confocal brain images from <em>P. spadonia</em>, <em>P. rhea</em>, <em>P. tepicana</em> and <em>P. obtusospinosa</em> minors, with manually segmented labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB) from one expert annotator.</li> <li>5 confocal brain images from <em>Pheidole spadonia </em>minors (“test brains”), with five sets of manually segmented labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB) from three expert annotators (one set from annotator 1, one set from annotator 2 and three sets from annotator 3, to evaluate inter and intra person differences).</li> <li>1 group-wise template generated from the 10 confocal brain images from <em>Pheidole spadonia </em>minors, with three sets of manually segmented labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB).</li> <li>5 group-wise templates generated from the 9 confocal brain images from <em>Pheidole spadonia </em>minors, with consensus labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB).</li> <li>1 group-wise template generated from 12 confocal brain images from <em>P. spadonia</em>, <em>P. rhea</em>, <em>P. tepicana</em> and <em>P. obtusospinosa</em> minors, with consensus labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB).</li> <li>7 sets of automatic labels for the 5 “test brains”: 3 sets of “Direct Labels”, 3 sets of “Consensus Labels”, 1 set of “Multispecies Template Labels”.</li> </ul> <p>Brain of minor workers were dissected from the ant head capsule in ice cold HEPES-buffered saline and were fixed and immunohistochemically stained using SYNORF1 (a monoclonal <em>Drosophila</em> synapsin I antibody obtained from the Developmental Studies Hybridoma Bank, catalog 3C11) and secondarily stained using Alexa Fluor 488 for visualization of neuropil (slightly modified from Ott, 2008). Later, brains were mounted in methyl salicylate and imaged on an Olympus Fluoview BX50 laser scanning confocal microscope with a ×20 objective at a resolution of ~0.7 × 0.7 × 5µm/voxel. All brain tissue manipulation, staining and recording was performed by Darcy G. Gordon. Brain images were obtained in TIFF format by the confocal microscope and then opened and saved as Amira Mesh (.am) stack images in Amira (version 6.0). Manual segmentation of each brain was done using Amira (version 6.0 or 2019.2). Labels were traced on eight compartments in only one brain hemisphere, except for the CX, SEZ and ROCB, which lack a clear subdivision between hemispheres. Brain grey image stacks and labels were transformed to NRRD format for template construction using the Fiji plugin SaveAsGzipNrrd<a href="#_ftn1">[1]</a>. Volume and volume similarity of labels were calculated using the Fiji toolbox MorphoLibJ<a href="#_ftn2">[2]</a>.</p> <p><strong>Acknowledgements: </strong>We thank Ming Huang (from Dr. Diana Wheeler’s laboratory) who kindly provided access to colonies from four species of the hyperdiverse ant genus <em>Pheidole</em> (<em>P. spadonia</em>, <em>P. rhea</em>, <em>P. tepicana </em>and <em>P. obtusospinosa</em>). This research was supported by National Science Foundation grants IOS 1354291 and IOS 1953393 to JT, a Marie Skłodowska-Curie Individual Fellowship BrainiAnts-660976 and Ayudas destinadas a la atracción de talento investigador a la Comunidad de Madrid en centros de I+D. This work is supported in part by the University of the <a href="https://www.sciencedirect.com/topics/engineering/basque-country">Basque Country</a> UPV/EHU grant GIU19/027.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> https://github.com/iarganda/tefor</p> <p><a href="#_ftnref2">[2]</a> https://imagej.net/plugins/morpholibj</p>
FIGURE 4 in Ultra-small RFID p-Chips on the heads of entomological pins provide an automatic and durable means to track and label insect specimens
FIGURE 4. Schematic of a cap for tagging specimen-bearing pins with p-Chips attached to a piece of ferrite to amplify the transponder response. A: Cross-section; B: Overall view; C: Mounting of the cap on a pin.
FIGURE 1 in Ultra-small RFID p-Chips on the heads of entomological pins provide an automatic and durable means to track and label insect specimens
FIGURE 1. Examples of how labels may be stacked below entomological specimens. Important information may be hidden and difficult to access.
FIGURE 3. a in Ultra-small RFID p-Chips on the heads of entomological pins provide an automatic and durable means to track and label insect specimens
FIGURE 3. a)-c) Schematic representation of p-Chips embedded in an epoxy dome and mounted onto entomological pins. d)- e) Photographs of p-Chip-tagged pins; a view from above the pin head (d), and from the side (e).
Linked collectors and determiners for: Insect collection, UiT, University Museum (TSZ). Insect labeling project and PhD-duty-work.
Natural history specimen data linked to collectors and determiners held within, "Insect collection, UiT, University Museum (TSZ). Insect labeling project and PhD-duty-work". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b581fcfa-9f31-431a-8431-1800ef8a554b">https://bionomia.net/dataset/b581fcfa-9f31-431a-8431-1800ef8a554b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b581fcfa-9f31-431a-8431-1800ef8a554b">https://gbif.org/dataset/b581fcfa-9f31-431a-8431-1800ef8a554b</a>. Formatted as a Frictionless Data package.
FIGURE 2. a in Ultra-small RFID p-Chips on the heads of entomological pins provide an automatic and durable means to track and label insect specimens
FIGURE 2. a) Schematic of the wand design and interactions with a p-Chip; b) Photograph of the p-Chip. Key elements labelled include: 1. Photocells, 2. Antenna, 3. Logic circuits, 4. Memory. c) Photograph of the wand used to read p-Chip IDs. The wand is next to a U.S. quarter coin for size comparison.
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International Brain Laboratory public data
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OpenNeuro
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