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1,317 results for “Histology”

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zenodo40/100

Fig. 2 in Bone histology of the graviportal dinocephalian therapsid Jonkeria from the middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin of South Africa

Fig. 2. Transverse sections of the radius (SAM-PK-12233b) of Jonkeria parva (Boonstra, 1955) from the middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin of South Africa. A1, diaphyseal cross-section showing highly vascularized fibrolamellar bone tissue in the outer cortex and the medullary cavity filled with bony trabeculae; note: the numerous enlarged resorption cavities in the perimedullary region. A2, detail showing an annulus with lamellar bone (arrowhead). A3, detail showing extension of an annulus in the cortex (arrowhead). B1, fibrolamellar bone tissue with woven matrix in the outer cortex showing circumferential and reticular organization of the vascular canals; B2, B3, detail showing the change to a reticular organization of the vascular canals. Abbreviations: mr, medullary region; po, primary osteon; tb, trabeculae; wb, woven bone. Photographs under cross-polarized light with lambda compensator (A1–A3, B1, B2) and ordinary light (B3).

opencc-by-4.0Oct 2021View details →
zenodo40/100

Fig. 4 in Bone histology of the graviportal dinocephalian therapsid Jonkeria from the middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin of South Africa

Fig. 4. Thin section of a core of the humerus (SAM-PK-11994) of Jonkeria ingens (Broom, 1923) from the middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin of South Africa. A1, overall view of humerus showing laminar fibrolamellar bone in the outer cortex and the increasingly cancellous nature of the bone towards the medullary cavity; note: numerous enlarged resorption cavities in the perimedullary cavity, and the layer of indurated sediments at the top of the section. A2, A3, highly vascularized laminar fibrolamellar bone. A4, A5, details showing a few isolated simple longitudinal vascular canals and primary osteons. A6, A7, detail showing large resorption cavities lined by narrow deposit of lamellar bone (arrows). Abbreviations: po, primary osteons; rc, resorption cavity; wb, woven bone. Photographs under ordinary light (A1, A2, A4, A6), and cross-polarized light with lambda compensator (A3, A5, A7).

opencc-by-4.0Oct 2021View details →
zenodo40/100

Fig. 3 in Bone histology of the graviportal dinocephalian therapsid Jonkeria from the middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin of South Africa

Fig. 3. Transverse sections of the tarsal (SAM-PK-12233c) of Jonkeria parva (Boonstra, 1955) from the middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin of South Africa. A1, diaphyseal cross-section showing highly vascularized fibrolamellar bone tissue in the outer cortex and cancellous bone tissue with extensively developed bony trabeculae in the medullary cavity; note: numerous enlarged resorption cavities in the perimedullary region. A2, detail showing highly vascularized reticular FLB. A3, A4, detail showing simple longitudinal vascular canals. A5, A6, detail showing reticular vascular canals. Photographs under cross-polarized light with lambda compensator (A1–A3, A5) and ordinary light (A4, A6).

opencc-by-4.0Oct 2021View details →
zenodo40/100

Fig. 6 in Bone histology of the graviportal dinocephalian therapsid Jonkeria from the middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin of South Africa

Fig. 6. Longitudinal section of the rib (BP/1/5409) of cf. Jonkeria sp. from the middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin of South Africa. A1, overall view of the rib showing highly secondarily remodeled cortex; note: numerous enlarged resorption cavities. A2, detail showing woven bone and enlarged resorption spaces. Photographs under ordinary light (A1) and cross-polarized light with lambda compensator (A2).

opencc-by-4.0Oct 2021View details →
zenodo40/100

Fig. 2 in Growth dynamics and body size evolution of South American long-necked chelid turtles: A bone histology approach

Fig. 2. Stylopodial bones of chelid turtles sampled in this study, showing the position where the thin sections were obtained (gray bar) and the complete shaft section in each element. A–D. Hydromedusa tectifera Cope, 1869; Recent, La Plata, Buenos Aires province, Argentina. A. MLPR-6291, dorsal view of the left humerus (A1), cross section (A2). B. MLPR-6291, dorsal view of the left femur (B1), cross section (B2). C. MLPR-6411, dorsal view of the right humerus (C1), cross section (C2). D. MLPR-6411, dorsal view of the right femur (D1), cross section (D2). E–G. Yaminuechelys maior (Staesche, 1929); Cerro Hansen, Danian of Salamanca Formation, Chubut Province, Argentina. E. MPEFPV-599, dorsal view of the right humerus (E1), cross section (E2). F. MPEFPV-599, dorsal view of the left femur (F1), cross section (F2). G. MLP-14-9-23-1, dorsal view of the left humerus (G1), cross section (G2). Note that the expansion of the medullary region is higher in Y. maior than in H. tectifera (see discussion in the text).

opencc-by-4.0Jun 2020View details →
zenodo40/100

Fig. 3 in Growth dynamics and body size evolution of South American long-necked chelid turtles: A bone histology approach

Fig. 3. Stylopodial bone histology of chelid turtle Yaminuechelys maior (Staesche, 1929), Cerro Hansen, Danian, Paleocene of Salamanca Formation, Chubut Province, Argentina (Bona and De la Fuente 2005). A. MPEFPV-599, humerus: dorsal (A1), dorsomedial (A2), dorsolateral (A3), and lateral (A4) areas. B. MLP-14-9-23-1, humerus: lateral (B1), dorsal (B2), medial (B3), and ventral (B4) areas. Arrowheads in A1 and B4 indicate lines of arrested growth. C. MPEFPV-599, femur: dorsal (C1), dorsolateral (C2), and ventral (C3, C4) areas. Photographs under normal light (A1, A4, B3), under polarized light (C4), under polarized light with lambda compensator (A2, A3, B1, B2, B4, C1–C3). Abbreviations: LVC, simple longitudinal vascular canals; PFB, parallel-fibered bone; RS, resorption cavities; RVC, simple radial vascular canals; SF, Sharpey's fibres.

opencc-by-4.0Jun 2020View details →
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Fig. 4 in Growth dynamics and body size evolution of South American long-necked chelid turtles: A bone histology approach

Fig. 4. Stylopodial bone histology of chelid turtle Hydromedusa tectifera Cope, 1869; Recent, La Plata, Buenos Aires province, Argentina. A. MLPR-6474, humerus: dorsolateral (A1) and ventral (A2) areas. B. MLPR-6474, femur: ventral (B1) and dorsal (B2) areas. C. MLPR-6291, humerus: dorsal (C1) and ventral (C2) areas. D. MLPR-6291, femur: lateral (D1) and ventrolateral (D2) areas; annuli, yellow A; zones, green Z. E. MLPR-6411, humerus: dorsal (E1) and ventral (E2) areas. F. MLPR-6411, femur: lateral areas (F1, F2). Arrowheads in E2 and F2 indicate lines of arrested growth. Photographs under normal light (B1, B2, D1, E1, F2), under polarized light (E2), under polarized light with lambda compensator (A1, A2, C1, C2, D2, F1). Abbreviations: LVC, simple longitudinal vascular canals; PFB, parallel-fibered bone; RS, resorption cavities; SF, Sharpey's fibers.

opencc-by-4.0Jun 2020View details →
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Fig. 1 in Growth dynamics and body size evolution of South American long-necked chelid turtles: A bone histology approach

Fig. 1. Size distribution of chelid turtles represented in two different phylogenetic hypotheses from Maniel et al. (2018). Both topologies recover two alternative hypotheses (orange): the monophyly of the South American chelid clade (A) and the monophyly of the of the long necked chelid turtles (B) see Maniel et al. 2018, for more information). Grey, species smaller than 20 cm; green, 20–60 cm; blue and bold, larger than 60 cm. The size is based on the carapace length.

opencc-by-4.0Jun 2020View details →
zenodo40/100

Nissl_4, Raw images for Machine learning for histological annotation and quantification of cortical layers.

<p>This dataset contains some images (TIFF image data)&nbsp; of <strong>brain juvenile rats Wistar Han (P14)</strong> &nbsp;scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F505 Color camera leading to a pixel size of 0.346 &mu;m/pixel.</p> <p>These raw images are part of another Zenodo dataset <span><a href="https://doi.org/10.5281/zenodo.11544829" target="_blank" rel="noopener noreferrer">https://doi.org/10.5281/zenodo.11544829</a></span>, that contains the QuPath projects that uses this dataset and 5 others (from Nissl_1 to Nissl_6).</p>

opencc-by-4.0Jun 2024View details →
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Nissl_3, Raw images for Machine learning for histological annotation and quantification of cortical layers.

<p>This dataset contains&nbsp; images (TIFF image data) of <strong>brain juvenile rats Wistar Han (P14)</strong> &nbsp;scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F505 Color camera leading to a pixel size of 0.346 &mu;m/pixel.</p> <p>These raw images are part of another Zenodo dataset <span><a href="https://doi.org/10.5281/zenodo.11544829" target="_blank" rel="noopener noreferrer">https://doi.org/10.5281/zenodo.11544829</a></span>, that contains the QuPath projects that uses this dataset and 5 others (from Nissl_1 to Nissl_6).</p>

opencc-by-4.0Jun 2024View details →
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Nissl_2, Raw images for Machine learning for histological annotation and quantification of cortical layers.

<p>This dataset contains&nbsp; images (TIFF image data) of <strong>brain juvenile rats Wistar Han (P14)</strong> &nbsp;scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F505 Color camera leading to a pixel size of 0.346 &mu;m/pixel.</p> <p>These raw images are part of another Zenodo dataset <span><a href="https://doi.org/10.5281/zenodo.11544829" target="_blank" rel="noopener noreferrer">https://doi.org/10.5281/zenodo.11544829</a></span>, that contains the QuPath projects that uses this dataset and 5 others (from Nissl_1 to Nissl_6).</p>

opencc-by-4.0Jun 2024View details →
zenodo40/100

Nissl_1, Raw images for Machine learning for histological annotation and quantification of cortical layers.

<p>This dataset contains&nbsp; images (TIFF image data) of <strong>brain juvenile rats Wistar Han (P14)</strong> &nbsp;scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F505 Color camera leading to a pixel size of 0.346 &mu;m/pixel.</p> <p>These raw images are part of another Zenodo dataset <span><a href="https://doi.org/10.5281/zenodo.11544829" target="_blank" rel="noopener noreferrer">https://doi.org/10.5281/zenodo.11544829</a></span>, that contains the QuPath projects that uses this dataset and 5 others (from Nissl_1 to Nissl_6).</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo40/100

Nissl_6, Raw images for Machine learning for histological annotation and quantification of cortical layers.

<p>This dataset contains&nbsp; images (TIFF image data) of <strong>brain juvenile rats Wistar Han (P14)</strong> &nbsp;scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F505 Color camera leading to a pixel size of 0.346 &mu;m/pixel.</p> <p>These raw images are part of another Zenodo dataset <span><a href="https://doi.org/10.5281/zenodo.11544829">https://doi.org/10.5281/zenodo.11544829</a></span>, that contains the QuPath projects that uses this dataset and 5 others (from Nissl_1 to Nissl_6).</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo40/100

Nissl_5, Raw images for Machine learning for histological annotation and quantification of cortical layers

<p>This dataset contains&nbsp; images (TIFF image data) of <strong>brain juvenile rats Wistar Han (P14)</strong> &nbsp;scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F505 Color camera leading to a pixel size of 0.346 &mu;m/pixel.</p> <p>These raw images are part of another Zenodo dataset <span><a href="https://doi.org/10.5281/zenodo.11544829" target="_blank" rel="noopener noreferrer">https://doi.org/10.5281/zenodo.11544829</a></span>, that contains the QuPath projects that uses this dataset and 5 others (from Nissl_1 to Nissl_6).</p>

opencc-by-4.0Jun 2024View details →
zenodo40/100

Figs 3A–F in Rat spleen in the course of Babesia submicroscopic studies microti invasion: histological and

Figs 3A–F. Splenic white pulp of rats with 21-day (A, arrows show empty spaces in nuclear membrane) and 6-month B. microti invasion (B). Swellings in rat spleen with 21-day B. microti invasion (C). Invaded erythrocytes in sinus blood vessels in rat spleen with 21-day parasitemia (D). Vacuole in macrophage of the rat spleen with 6-month B. microti invasion (E). Macrophage in red pulp of the rat spleen with 6-month B. microti invasion (F). Preparations imaging with the use of transmission electron microscopy (TEM). Abbreviations: Bm – Babesia microti merozoites, Er – erythrocytes, Hem – hemosiderin, Mf – macrophage containing digested fragments of erythrocytes and heterophagical vacuoles – HV, Tr – thrombocytes, V – vacuole containing fibrous remnants of cytoskeleton.

opencc-by-4.0Dec 2017View details →
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Figs 1A–E in Rat spleen in the course of Babesia submicroscopic studies microti invasion: histological and

Figs 1A–E. The peripheral blood smear of control rats (A) rats with 21-day B. microti invasion (B) and rats with 6-month B. microti invasion (C) (black arrows – B. microti merozoites). Preparations were stained with MGG method. The surface observations of erythrocytes invaded with B. microti showed the presence of characteristic, elongated structures under the cell membrane (D, E). Imaging in AFM. Abbreviation: Lf – lymphocyte.

opencc-by-4.0Dec 2017View details →
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Fig. 4 in The use of morphological and histological features as nutritional condition indices of Pagrus pagrus larvae

Fig. 4. Histological sections of Pagrus pagrus larvae, indicators of long term nutritional condition. Sagital section of 4 µm thick stained with Harris's hematoxylin and eosin counterstain (H-E). (a-c) nervous system, (d-f) cartilage, (g-i) muscle, (j-l) notochord; left = fed larvae, middle = delayed fed larvae and right = starved. hsn: heavily stained nucleus, ics: inter-cellular space, nc: notochord contraction, pn: prominent nucleus. Scale bar indicates 10 µm.

opencc-by-4.0Sep 2013View details →
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Fig. 1 in The use of morphological and histological features as nutritional condition indices of Pagrus pagrus larvae

Fig. 1. Mean values of morphometrical variables and standard error against larval age expressed as days after hatching (DAH) of Pagrus pagrus larvae from the different feeding treatments. BDA: body depth at the anus, ED: eye diameter, HD: head depth, SL: standard length. T0: before the experiment begins, T1: without food, T2: delayed feeding and T3: fed. Arrows indicate the moment when food was supplied to larvae in T3 (black) and T2 (dark grey). Initial condition of larvae (T0, white squares) was also included in order to allow comparisons.

opencc-by-4.0Sep 2013View details →
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Fig. 7 in The use of morphological and histological features as nutritional condition indices of Pagrus pagrus larvae

Fig. 7. Mean histological condition index (HCI) and standard error for Pagrus pagrus larvae calculated employing short or long term tissues and a mean value employing all tissues against larval age expressed as days after hatching (DAH) from the feeding treatments, a: without food (T1); b: delayed feeding (T2); c: fed (T3).

opencc-by-4.0Sep 2013View details →
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Fig. 5 in The use of morphological and histological features as nutritional condition indices of Pagrus pagrus larvae

Fig. 5. Mean histological condition index (HCI) and standard error for Pagrus pagrus larvae from the feeding treatments against larval age expressed as days after hatching (DAH). Different lowercase letters indicate significant differences (p&lt;0.05) among feeding treatments, after one way ANOVA followed by post-hoc Tukey's test. Different capital letters indicate significant differences (p&lt;0.05) among feeding treatments, after Kruskal Wallis test followed by multiple comparisons. T0: before the experiment begins, T1: without food, T2: delayed feeding and T3: fed.

opencc-by-4.0Sep 2013View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record