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Fig. 2 in Morphological and molecular characterization of parabasilids isolated from ex situ nonhuman primates and their keepers at different institutions in Brazil
Fig. 2. Phylogenetic analysis of a 100 bp fragment of the ITS variable region by the maximum likelihood test and the Kimura 2-parameter (K2P) evolutionary model of parabasilids isolated from samples of ex situ nonhuman primates (NHPs) and their keepers at different institutions in Brazil. Tree not rooted.
Fig. 3. T. brumpti trophozoite isolates obtained from A in Morphological and molecular characterization of parabasilids isolated from ex situ nonhuman primates and their keepers at different institutions in Brazil
Fig. 3. T. brumpti trophozoite isolates obtained from A. trivirgatus stool samples were subjected to rapid Panoptic staining kit (A–D). A. Trophozoite with three flagella visible in the anterior region (*) and a rounded nucleus (black arrow). B. Trophozoite with prominent axostyle in the posterior region (black arrow). C. Trophozoite with three flagella visible in the anterior region (black *). D. Trophozoite with a rounded body and visible undulating membrane (black arrow). E. Human isolate of Tetratrichomonas sp. F. T. batrachorum isolated from L. chrysomelas with many vacuoles inside the cell (white *). G. P. hominis isolated from S. collinsi with clearly visible axostyle (white *) and undulating membrane. H. H. hampli trophozoite with three flagella detected in howler monkey (A. guariba), surrounded by bacteria (black arrow). Maginification: 1000x.
Fig. 1. Maximum likelihood tree generating from a 399 in Isolation and Characterization of Polymorphic Microsatellite Loci for Caridina cantonensis and Transferability Across Eight Confamilial Species (Atyidae, Decapoda)
Fig. 1. Maximum likelihood tree generating from a 399-bp long COI dataset (GenBank accession no. MH176649-MH176993). SH-alrt/ bootstrap support values are indicated at major nodes. Each coloured notation represents one species.
Fiber and vessel dataset for segmentation and characterization
<p>This repository hosts a comprehensive collection of datasets used to develop an innovative deep learning model designed to enhance the segmentation and characterization of macerated fibers and vessel forms in microscopy images. Included in the deposit are raw images, alongside meticulously prepared training and validation datasets. We present an automated segmentation approach that utilizes the one-stage YOLOv8 model, which has been specifically adapted to process high-resolution microscopy images up to 32640 x 25920 pixels. Our model excels in cell detection and segmentation, demonstrating exceptional proficiency.</p>
Fig. 7 in Characterization of the early development of Pseudoplatystoma reticulatum Eigenmann & Eigenmann, 1889 (Siluriformes: Pimelodidae) from the Paraguay River Basin
Fig. 7. Growth coefficients of the head, trunk, and tail during the development of Pseudoplatystoma reticulatum. Larvae in preflexion (a), flexion (b), and postflexion (c) stages; and juvenile (d).
Fig. 4 in Characterization of the early development of Pseudoplatystoma reticulatum Eigenmann & Eigenmann, 1889 (Siluriformes: Pimelodidae) from the Paraguay River Basin
Fig. 4. Drawings and photographs of larvae at different stages and juvenile of Pseudoplatystoma reticulatum: (a) yolk-sac larva (newly-hatched): TL = 3.05 mm; (b) preflexion: age = 12 h, TL = 3.91 mm; (c) early flexion: age = 2 days, TL = 5.85mm; (d) intermediate flexion: age = 4 days, TL = 7.91mm; (e) late flexion: age = 6 days, TL = 8.22 mm; (f) early postflexion: age = 7 days, TL = 9.23 mm; (g) intermediate postflexion: age = 8 days, TL = 10.38 mm; (h) late postflexion: age = 10 days, TL = 9.55mm; and (i) juvenile: age = 21 days, TL = 36.42 mm. Scale = 1 mm.
Fig. 6 in Characterization of the early development of Pseudoplatystoma reticulatum Eigenmann & Eigenmann, 1889 (Siluriformes: Pimelodidae) from the Paraguay River Basin
Fig. 6. Allometric growth of the body parts in relation to the total length during the development of Pseudoplatystoma reticulatum.
Fig. 3 in Characterization of the early development of Pseudoplatystoma reticulatum Eigenmann & Eigenmann, 1889 (Siluriformes: Pimelodidae) from the Paraguay River Basin
Fig. 3. Drawings and photographs of the embryonic development of Pseudoplatystoma reticulatum. (a) morula, (b) gastrula; (c) initial embryo, (d) tail formation, (e) free tail, and (f) final embryo. Scale = 1 mm.
Fig. 1 in Characterization of the early development of Pseudoplatystoma reticulatum Eigenmann & Eigenmann, 1889 (Siluriformes: Pimelodidae) from the Paraguay River Basin
Fig. 1. Schematic diagram of the measurements taken: (a) eggs, (b) larvae, and (c) juveniles of Pseudoplatystoma reticulatum. EGD: total diameter, YSD: yolk-sac diameter, PS: perivitelline space, TL: total length, SL: standard length, SNL: snout length, ED: eye diameter, HL: head length, TRL: trunk length, TAL: tail length, HH: head height, BH: body height at the level of the pectoral fin, BHa: body height at the level of the anus, CPH: caudal peduncle height, PPD: pre pectoral-fin length, PPvD: pre pelvic-fin length, PDD: pre dorsal-fin length, and PAD: pre anal-fin length.
Fig. 5 in Characterization of the early development of Pseudoplatystoma reticulatum Eigenmann & Eigenmann, 1889 (Siluriformes: Pimelodidae) from the Paraguay River Basin
Fig. 5. Pseudoplatystoma reticulatum growth during larval and juvenile development, from hatching to the 24th day of life. Larval stages: A: yolk-sac larva, B = preflexion, C = flexion, and D = postflexion; and E = juvenile. (a) Relationship between total length and age, and (b) relationship between weight and age.
Fig. 2 in Characterization of the early development of Pseudoplatystoma reticulatum Eigenmann & Eigenmann, 1889 (Siluriformes: Pimelodidae) from the Paraguay River Basin
Fig. 2. Morphological events observed during the development of Pseudoplatystoma reticulatum, in the (a) embryonic, (b) larval and juvenile period. YOS: yolk-sac larva, PF: preflexion, FL: flexion, POF: postflexion, and J: juvenile.
FIGURE 1 in Cytomolecular investigations using repetitive DNA probes contribute to the identification and characterization of Characidium sp. aff. C. vidali (Teleostei: Characiformes)
FIGURE 1 | Characidium sp. aff. C. vidali karyotypes arranged from mitotic metaphases after to conventional Giemsa staining and C-banding. A. and C. male karyotypes. B. and D. female karyotypes. B chromosomes are in the boxes. In evidence a preserved specimen under study. Photo of Characidium sp. aff. C. vidali by Bruno F. Melo.
FIGURE 3 in Cytomolecular investigations using repetitive DNA probes contribute to the identification and characterization of Characidium sp. aff. C. vidali (Teleostei: Characiformes)
FIGURE 3 | Metaphase plates of Characidium sp. aff. C. vidali after fluorescent in situ hybridization (FISH) with four microsatellite motifs. B chromosomes present in the species are indicated. Scale bar = 10 µm.
FIGURE 2 in Cytomolecular investigations using repetitive DNA probes contribute to the identification and characterization of Characidium sp. aff. C. vidali (Teleostei: Characiformes)
FIGURE 2 | Metaphase of Characidium sp. aff. C. vidali after FISH with histone H3 (green) and H4 (red) probe. Synteny marked in par 10. Scale bar = 10 µm.
FIGURE 4 in Cytomolecular investigations using repetitive DNA probes contribute to the identification and characterization of Characidium sp. aff. C. vidali (Teleostei: Characiformes)
FIGURE 4 | Metaphase of Characidium sp. aff. C. vidali after fluorescent in situ hybridization (FISH); A. With a telomeric probe (TTAGGG) n. B. After sequential C-banding. The arrows indicate Interstitial Telomeric Sites (ITS), and asterisks highlight double-ITS marks; B = B-chromosomes; Z, W = sex chromosomes. Scale bars = 10 µm.
FIGURE 5 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)
FIGURE 5 | Effect of inhibitors on alkaline digestive proteases of Vieja melanurus and V. bifasciata: Alkaline control (alkaline proteases without inhibitor), TPCK (N-p-Tosyl-L-phenylalanine chloromethyl ketone), PHEN (phenanthroline), EDTA (ethylenediaminetetraacetic acid), TLCK (TosylL-lysyl-chloromethane hydrochloride), OVO (ovalbumin), SBT1 (soybean trypsin inhibitor), PMSF (phenylmethylsulfonyl fluoride) (mean ± SD, n = 3) significant differences (P<0.05) between inhibitors values are shown by letters. Different letter between bars indicates statistical differences.
FIGURE 2 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)
FIGURE 2 | pH stability of acid digestive protease for A. Vieja melanurus and B. V. bifasciata; and alkaline digestive protease for C. V. melanurus and D. V. bifasciata (mean ± SD, n = 3). Significant differences (P<0.05) between pH values residual activity are shown by letters.
FIGURE 3 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)
FIGURE 3 | Effect of optimal temperature (mean ± SD, n = 3) on A. acid proteases and B. alkaline proteases of Vieja melanurus and V. bifasciata. Significant differences (P<0.05) between pH values are shown by letters.
FIGURE 1 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)
FIGURE 1 | Effect of optimal pH (mean ± SD, n = 3) on A. acid proteases and B. alkaline proteases of Vieja melanurus and V. bifasciata. Significant differences (P<0.05) between pH values are shown by letters.
FIGURE 4 in Comparative characterization of digestive proteases in redhead cichlid (Vieja melanurus) and twoband cichlid (Vieja bifasciata) (Percoidei: Cichlidae)
FIGURE 4 | Temperature stability of acid digestive protease for A. Vieja melanurus and B. V. bifasciata; and alkaline digestive protease for C. V. melanurus and D. V. bifasciata (mean ± SD, n = 3). Significant differences (P<0.05) between pH values residual activity are shown by letters.
ScienceDex guides
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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.