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325 results for “best practice”
Fig. 6.9 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.9. Omorgus beetle structured light scanning with MechScan (left) comparison to µCT scan (right). The main difference is the lack of artefacts due to the needle with the MechScan 3D model. But the MechScan model lacks almost the entire ventral area of the abdomen between the legs. https://sketchfab.com/models/9dc5082c8db14c92879947da927f07dc
Fig. 6.8 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.8. Comparison between different treatments of the µCT model. Top and bottom left: µCT model without any treatment regarding removal of the artefacts https://sketchfab.com/models/169c2b29a1404e5cb5f6b6ea0928d075. Top and bottom in the middle: area affected by the metal artefact quickly cut out in GOM Inspect https://sketchfab.com/models/ f40a108e43ea44d78ca3d04ac41ad0a0; Top and bottom right: Carefully removed the needle through segmentation in Dragonfly 3.5. https://sketchfab.com/models/dc194a4e05da4f7ab787c8c7b028d2e7
Fig. 6.7. Bone retoucher digitised with photogrammetry using a in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.7. Bone retoucher digitised with photogrammetry using a zoom lens (Ptg 18–55), a fixed focal macro lens (Ptg 100), focus stacking photogrammetry (FS-Ptg 60), structured light (SL) and microCT (µCT).
Fig. 6.6 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.6. Detailed view of the sea urchins digitised with different equipment. The goal was to digitise the small punctures on the surface as these aid in identifying the species of the sea urchin.
Fig. 5.2 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 5.2. Micro-contrast enhancement and relighting in DxO OpticsPro 11. The original image is on the left, the post-processed picture on the right. The dark area in the middle is now sufficiently exposed, without losing the look and feel of the specimen.
Fig. 6.10 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.10. Comparison of the Photogrammetry (left) vs µCT models (right) of the Omorgus beetle. The large difference between them is the less pronounced detail in the photogrammetry model. To fully see the detailed differences, check the models online: https://sketchfab.com/models/a1fb6b8289f74c428782f43d502e771e
Fig. 4.8 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.8. Pre-Columbian handle of an incense shovel from the Royal Museum of Art and History (RMAH) collections, on top in white light, at bottom in infrared. The infrared image only displays carbon-based pigment in black, the other pigments used are transparent to infrared.
Fig. 3.16 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.16. Valgus hemipterus (7 mm body size) scanned with DISC3D at two different camera resolutions. A–B. 4 MP. C–D. 12 MP. Both images are sharp, but the 12 MP version shows more detail, resulting also in a higher spatial resolution of the model (but see Table 3.3). The textured VCM-model (low polygonversion) can be inspected at Sketchfab: https://skfb.ly/6KpsB
Fig. 3.11. 3D in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.11. 3D model, with texture on the left and mesh only on the right, of the mollusk Gabbiella humerosa edwardi (size: 6 mm) generated in Agisoft Photoscan based on single images (f/14). https://sketchfab.com/models/73c74dc0d17b4d5f99b4fe4393f05302
Fig. 3.29. NextEngine with the rotary table holding a in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.29. NextEngine with the rotary table holding a geological sample. The cardboard sheet behind is placed to avoid reflection of the bright and shiny glazed white tiles on the wall. The NextEngine also comes with a sample holder to scan small samples.
Fig. 3.33 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.33. Scan of a part of the excavation at Scladina cave (Belgium) made with the Gotcha. The part of the site pictured measures approximately 2×2 m.
Fig. 3.8 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.8. Example of photogrammetry model of Pandinus imperator https://sketchfab.com/models/94aab6ef89a34fff866ecbd1f30747a5
Fig. 4.4 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.4. Specimen of the Pentatomidae, Halyomorpha sp. On the left in white light, on the right under UV fluorescence. The red arrows show the parts affected by fungus on the specimen, that are only visible in UV fluorescence.
Fig. 3.6 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.6. Example of a photogrammetry model of the 'Dame de Bruxelles' (RMAH collections): on the left without the texture (colour); on the right with the texture. The model was generated in Agisoft Photoscan https://sketchfab.com/models/f19dbed309184ca299ffdb9fc8aa2c7e
Fig. 3.19. 3D in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.19. 3D model of a Dorylus ant (size: 1.5 cm) based upon focus stacked images, textured model is on the left, the view of only the mesh is on the right. https://sketchfab.com/models/c6c1bd08cb724f85a8bd8aecc6c44d7e
Fig. 3.14. 3D in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.14. 3D model, with texture on the left and Matcap on the right, of the mollusk Gabbiella humerosa edwardi (size: 6 mm) generated in Agisoft Photoscan based on focus-stacked images. https://sketchfab.com/models/0a8aea3251244978af7a3f4f95bca881
Fig. 3.4 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.4. The photogrammetry setup on the left with the automated turntable. The controller enables to command both a turntable and a camera through the AGORA 3D interface.
Fig. 4.2 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.2. Detail of a spider in white light on the left and in fluorescence on the right. Focus stacking image.
Fig. 3.1 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.1. Photogrammetry set-up with a specimen on a manual turntable, a Canon DSLR on a tripod, 2 studio lights and a light tent.
Fig. 3.3 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.3. Camera positions of three rotations. The top part of the crocodile skull was placed on a rotary table and turned on three different sides after a full turn. During the photoshoot the camera was kept at a fixed position.
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.