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232 results for “thorax”
Figures 70-73 in Thorax and abdomen morphology of some Neotropical Hesperiidae (Lepidoptera)
Figures 70-73. Lateral view of male (Fig. 70, 72) and female (Fig. 71, 73) abdomens. 70, 71) Pyrgus orcus; 72, 73) Synapte silius.
Figures 16–22. Nephrotoma impigra anqingensis Men, subsp. nov. 16. Head, dorsal view. 17. Thorax, dorsal view. 18. Thorax, lateral view. 19. Wing. 20 in Taxonomy on crane flies in family Tipulidae and Limoniidae (Diptera: Tipuloidea) from Yaoluoping National Nature Reserve, Anhui, China
Figures 16–22. Nephrotoma impigra anqingensis Men, subsp. nov. 16. Head, dorsal view. 17. Thorax, dorsal view. 18. Thorax, lateral view. 19. Wing. 20. Abdomen (male), lateral view. 21. Ovipositor, lateral view. 22. Ovipositor, dorsal view. Scale bars: 16 = 0.5 mm; 17–22 = 1.0 mm.
Figures 3–7. Holorusia henana. 3. Head, dorsal view. 4. Thorax, dorsal view. 5. Thorax, lateral view. 6. Wing. 7 in Taxonomy on crane flies in family Tipulidae and Limoniidae (Diptera: Tipuloidea) from Yaoluoping National Nature Reserve, Anhui, China
Figures 3–7. Holorusia henana. 3. Head, dorsal view. 4. Thorax, dorsal view. 5. Thorax, lateral view. 6. Wing. 7. Hypopygium, lateral view. Scale bars: 3, 6 = 1.0 mm; 4–5, 7 = 2.0 mm.
Figures 1–6. Thorax. 1. Pselliophora xanthopimplina. 2. Tanyptera hubeiensis. 3. Tipulodina xyris. 4. Tipula coxitalis. 5 in Taxonomy on crane flies from Mountain Huang, China, with descriptions of two new species (Diptera: Tipulidae)
Figures 1–6. Thorax. 1. Pselliophora xanthopimplina. 2. Tanyptera hubeiensis. 3. Tipulodina xyris. 4. Tipula coxitalis. 5. Nephrotoma huangshanensis sp. nov. 6. Tipula (Pterelachisus) pseudobiaciculifera sp. nov.
Figs. 183–192. Polymorphanisus thorax. 183 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 183–192. Polymorphanisus thorax. 183, astictus, ocularis male and female thorax; 16, fuscus male thorax; 184–185, fuscus female thorax; 186, muluensis male and female thorax; 187, nigricornis male and female thorax; 188, quadripunctatus male and female thorax; 189, semperi male and female thorax; 190, scutellatus male thorax; 191, scutellatus female thorax; 192, unipunctus male and female thorax. Scale = 2 mm (189 redrawn from Barnard, 1980).
Figures 37–42. Thorax, dorsal view. 37 in Phylogeny and classification of the Orussidae (Insecta: Hymenoptera), a basal parasitic wasp taxon
Figures 37–42. Thorax, dorsal view. 37. Orussonia depressa Riek; 38. Orussobaius minutus Benson; 39. Orussella dentifrons (Philippi); 40. Leptorussus kwazuluensis Vilhelmsen sp. nov.; 41. Chalinus braunsi (Enslin); 42. Pedicrista hyalina Benson. Not to scale. axf, axillar flange; ce, cenchrus; msa, mesoscutellar arm; N1, pronotum; N2, mesoscutum; N3, metanotum; Sc2, mesoscutellum.
Figures 43–48. Thorax, dorsal view. 43 in Phylogeny and classification of the Orussidae (Insecta: Hymenoptera), a basal parasitic wasp taxon
Figures 43–48. Thorax, dorsal view. 43. Orussus schoutedeni Guiglia; 44. Orussus occidentalis Cresson; 45. Pseudoryssus henschii (Mocsáry); 46. Guiglia sericata (Mocsáry); 47. Ophrella lingulata Middlekauff; 48. Ophrynopus plaumanni Smith. Not to scale.
Figs 3–15. Females. 3–8. Thorax, dorsal view. 3–4 in Simulium (Trichodagmia) (Diptera, Simuliidae) phylogeny revisited: the Neotropical and Afrotropical connection
Figs 3–15. Females. 3–8. Thorax, dorsal view. 3–4. Simulium (Anasolen) Enderlein, 1930. 3. neireti Roubaud, 1905. 4. nili Gibbins, 1934. — 5. S. (Freemanellum) berghei Fain, 1949. — 6. S. (Hearlea) canadense Hearle, 1932. — 7. S. (Shewellomyia) pictipes Hagen, 1880. — 8. S. (Obuchovia) margaritae Rubtsov, 1956. — 9–15. Cibarium of females. 9–12. S. (Hemicnetha) Enderlein, 1934. 9. brachycladum Lutz & Pinto, 1932. 10. cristalinum Coscarón & Py-Daniel, 1989. 11. tarsatum Macquart, 1846. 12. pulverulentum Knab, 1915. — 13–15. S. (Trichodagmia) Enderlein, 1934. 13. lahillei (Paterson & Shannon, 1927). 14. nigrimanum Macquart, 1838. 15. scutistriatum Lutz, 1909. Scale bars: 3–8 = 0.25 mm; 9–12, 14 = 0.05 mm; 13, 15 = 0.02 mm.
Platypsyllus castoris micro-CT datasets (head and thorax)
<p>Two micro-CT datasets of both head and thorax of the beaver beetle <em>Platypsyllus castoris</em> (Leiodidae, Coleoptera).</p> <p>The specimen was scanned at the MPI for the Science of Human History (Jena, Germany) with a SkyScan 2211 X-ray nanotomograph (Bruker, Knotich, Belgium), with an image spatial resolution of 0.30 μm (isotropic voxel size) using the following parameters: 60 kV, 250 μA, 4,300 ms exposure time, 0.20° rotation steps, frame averaging on (2), and using no filter. Projections were reconstructed by NRecon (Bruker, Knotich, Belgium) into TIFF files.</p>
Effects of mycotoxin treatment on fly survival, development time, thorax length, fecundity, and longevity in four mycophagous Drosophila species
<p>Many mycophagous Drosophila species have adapted to tolerate high concentrations of mycotoxins, an ability not reported in any other eukaryotes. Although an association between mycophagy and mycotoxin tolerance has been established in many Drosophila species, the genetic mechanisms of the tolerance are unknown. This study presents the inter- and intraspecific variation in the mycotoxin tolerance trait. We studied the mycotoxin tolerance in four Drosophila species from four separate clades within the immigrans-tripunctata radiation from two distinct locations. The effect of mycotoxin treatment on 20 isofemale lines per species was studied using seven gross phenotypes: survival to pupation, survival to eclosion, development time to pupation and eclosion, thorax length, fecundity, and longevity. We observed interspecific variation among four species, with D. falleni being the most tolerant, followed by D. recens, D. neotestacea, and D. tripunctata, in that order. The results also revealed geographical variation and intraspecific genetic variation in mycotoxin tolerance. This report provides the foundation for further delineating the genetic mechanisms of the mycotoxin tolerance trait.</p>
Agonopterix laterella (Foto Peter Buchner) (Italia, Friuli, Monte San Simeone, 22.06.2010 e.l. Centaurea tiumphetti). Flügelspannweite über 22 mm. Vorderflügel und Thorax sind leicht ge- sprenkelt. Im Mittelraum stehen zwei schräg übereinander liegende dunkle Punkte, oft nur sehr undeutlich. Vor der Querader liegt ein grös- serer Fleck, der undeutlich abgegrenzt ist. Auf der Querader ist ein weiterer dunkler Punkt. in Agonopterix ferocella (Chrétien, 1910) (Lepidoptera, Depressariidae) neu für die Schweiz
Agonopterix laterella (Foto Peter Buchner) (Italia, Friuli, Monte San Simeone, 22.06.2010 e.l. Centaurea tiumphetti). Flügelspannweite über 22 mm. Vorderflügel und Thorax sind leicht ge- sprenkelt. Im Mittelraum stehen zwei schräg übereinander liegende dunkle Punkte, oft nur sehr undeutlich. Vor der Querader liegt ein grös- serer Fleck, der undeutlich abgegrenzt ist. Auf der Querader ist ein weiterer dunkler Punkt.
Effects of mycotoxin treatment on fly survival, development time, thorax length, fecundity, and longevity in four mycophagous Drosophila species
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Semi-Siamese U-Net for separation of lung and heart bioimpedance images: a simulation study of thorax EIT
<p><span>Electrical impedance tomography (EIT) is widely used for bedside monitoring of lung ventilation status. Its goal is to reflect the internal conductivity changes and estimate the electrical properties of the tissues in the thorax. However, poor spatial resolution affects EIT image reconstruction to the extent that the heart and lung-related impedance images are barely <a name="_Hlk56106607">distinguishable</a>. Several studies have attempted to tackle this problem, and approaches based on decomposition of EIT images using linear transformations have been developed, and recently, U-Net has become a prominent architecture for semantic segmentation. In this paper, we propose a novel semi-Siamese U-Net specifically tailored for EIT application. It is <a name="_Hlk48748756">based on the state-of-the-art U-Net</a>, whose structure is modified and extended, forming shared encoder with parallel decoders and has multi-task weighted losses added to adapt to the individual separation tasks. The trained semi-Siamese U-Net model was evaluated with a test dataset, and the results were compared with those of the classical U-Net in terms of Dice similarity coefficient and mean absolute error. </span></p> <p><span>Results showed that compared with the classical U-Net, semi-Siamese U-Net exhibited performance improvements of 11.37% and 3.2% in Dice similarity coefficient, and 3.16% and 5.54% in mean absolute error, in terms of heart and lung-impedance image separation, respectively.</span></p>
Figure 1. - Leucotrichiamelleopicta Mosely, 1934 (holotype, NHM). A head and antennae, dorsal B palps C thorax, dorsal D legs and spur formula (1.3.4) E wings.
Figure 1. - Leucotrichiamelleopicta Mosely, 1934 (holotype, NHM). A head and antennae, dorsal B palps C thorax, dorsal D legs and spur formula (1.3.4) E wings.
Data: Thorax Vibration and Force Generation During Non-Flight Behaviors in Carpenter Bees (Xylocopa: Apidae): Implications for Floral Buzzing
<p>Interval data from the manuscript "Thorax Vibration and Force Generation During Non-Flight Behaviors in Carpenter Bees (<em>Xylocopa</em>: Apidae): Implications for Floral Buzzing "</p>
Thorax x-ray and CT interventional dataset for nonrigid 2D/3D image registration evaluation
<p>Thorax x-ray and CT interventional dataset for nonrigid 2D/3D image registration evaluation. Medical Physics, 2018 Nov;45(11):5343-5351. doi: 10.1002/mp.13174.</p>
Mouse thorax segmentation dataset
<p>This repository contains reference segmentations of the heart, spinal cord, right lung and left lung for native and contrast-enhanced mouse CT images. The CTs were drawn from a publicly available preclinical micro-CT database<sup>1</sup>. Annotations are provided for the entire native CT dataset (140 images) and for a subset (35 images) of the contrast-enhanced CT dataset. Annotations by a second observer are also available for 35 native CTs and contrast-enhanced CTs.</p> <p>This dataset was used to train a nnU-Net 3d_fullres model for automated mouse thorax segmentation. The pre-trained model can be downloaded from https://doi.org/10.5281/zenodo.5786839 and more details about the dataset and training can be found in the publication. In case you find these annotations useful for your research, please cite the original work:</p> <p>Malimban, J., Lathouwers, D., Qian, H. <em>et al.</em> Deep learning-based segmentation of the thorax in mouse micro-CT scans. <em>Sci Rep</em> 12, 1822 (2022). https://doi.org/10.1038/s41598-022-05868-7</p> <p> </p> <p><sup>1</sup>Rosenhain S, Magnuska Z A, Yamoah G G, Rawashdeh W A, Kiessling F and Gremse F 2018 A preclinical micro-computed tomography database including 3D whole body organ segmentations Online: https://springernature.figshare.com/collections/A_preclinical_micro-computed_tomography_database_including_3D_whole_body_organ_segmentations/4224377/1 </p>
NMR metabolomic analysis of Drosophila extracts: 3 genotypes (control, RNAi Opa1 in muscle, RNAi Marf in muscle), 3 body regions (head, thorax, abdomen), 2 ages (30 days, 65 days)
<p>RNAi of the Drosophila mitochondrial fusion genes Opa1 and Marf (Mitofusin 2) in the muscle results in an extended lifespan. In order to unravel the metabolic changes in the long-living flies we analysed the metabolome by NMR spectroscopy, comparing the two knock-down genotypes to a wild type control at two ages: 30 days (young flies) and 65 days (old flies). In order to detect autonomous and non-autonomous changes, we also divided the samples in three anatomical regions: head (mostly neural tissue) thorax (mostly muscle), and abdomen (visceral, reproductive, metabolic control)</p>
Data from: Distinct genetic architectures underlie divergent thorax, leg, and wing pigmentation between Drosophila elegans and D. gunungcola
<p>Understanding the genetic basis of species differences is a major goal in evolutionary biology. Pigmentation divergence between <i>Drosophila </i>species often involves genetic changes in pigmentation candidate genes that pattern the body and wings, but it remains unclear how these changes affect pigmentation evolution in multiple body parts between the same diverging species. <i>Drosophila elegans </i>and <i>D. gunungcola</i> show pigmentation differences in the thorax, legs, and wings, with <i>D. elegans </i>exhibiting male-specific wing spots and <i>D. gunungcola </i>lacking wing spots with intensely dark thoraces and legs. Here, we performed QTL mapping to identify the genetic architecture of these differences. We find a large effect QTL on the X chromosome for all three body parts. QTL on Muller Element E were found for thorax pigmentation in both backcrosses but were only marginally significant in one backcross for the legs and wings. Consistent with this observation, we isolated the effects of the Muller Element E QTL by introgressing <i>D. gunungcola </i>alleles into a <i>D. elegans </i>genetic background and found that <i>D. gunungcola </i>alleles linked near the pigmentation candidate gene <i>ebony </i>caused intense darkening of the thorax, minimal darkening of legs, and minimal shrinking of wing spots. <i>D. elegans</i> <i>ebony</i> mutants showed changes in pigmentation consistent with Ebony having different effects on pigmentation in different tissues. Our results suggest that multiple genes have evolved differential effects on pigmentation levels in different body regions.</p>
Semi-Siamese U-Net for separation of lung and heart bioimpedance images: a simulation study of thorax EIT
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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.