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Fig. 6.2 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.2. Texture comparison between photogrammetry and MechScan (above) and an actual picture captured by a Canon 700D with 100 mm macro lens of the shell below.
Fig. 5.3 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 5.3. Micro-contrast enhancement in DxO OpticsPro 11. A crop of the original image is on the left, one of the post-processed pictures on the right.
Fig. 5.4 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 5.4. Micro-contrast enhancement in DxO OpticsPro 11. The original image is on the left, the postprocessed picture on the right. The post-processed picture looks more crisp and shows more details than the original one as the washed-out appearance has gone.
Fig. 6.14. Ishango rod. The left 3D model was acquired with a in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.14. Ishango rod. The left 3D model was acquired with a µCT many years ago. The middle one is scanned with the MechScan structured light scanner. The right one is the combination of both the µCT scan, the structured light scan and the texture of the photogrammetry model.
Fig. 5.1 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 5.1. Relighting in DxO OpticsPro 11. The original image is on the left, the post-processed picture on the right. The underexposed image is now corrected without the need to take new images.
Fig. 4.9 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.9. Pre-Columbian handle of an incense shovel from the Royal Museum of Art and History collections. UV fluorescence photogrammetry model. In this case, fluorescence enables to enhance the glue (fluorescing in green). https://sketchfab.com/models/2d82a98be64c48b89cada459b81bd0ab
Fig. 4.7 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.7. Enhancing the legibility of a specimen. The picture on the left represents the specimen captured under white light, while the picture on the right displays the specimen under UV light. Part of the reflections is reduced under UV light allowing to display more contrasted structures.
Fig. 4.5 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.5. Detail of the Halszkaraptor fossil from Mongolia. In white light on the left, in UV fluorescence on the right. The UV fluorescence image displays restorations of the fossils and treatment applied to preserve it.
Fig. 3.20. 3D in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.20. 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. The VCM option in Agisoft Photoscan is chosen to include small detail in the 3D model. The tibia spurs are clearly marked. https://sketchfab.com/models/da9aa414bfa64caabfe5c552368b16f0
Fig. 3.15 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.15. Part of the Cognisys StackShot 3X Deluxe Kit, reassembled for the photogrammetry purpose. The two rotary tables are mounted perpendicular to each other, whereby rotary table A moves a steel angle with rotary table B fixed at the end.
Fig. 3.13 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.13. Alnus japonica (2 cm long) scanned with DISC3D. A. EDOF-image. B. 3D-model (vcm) from 807 cameras. C. 3D-model from 398 cameras.
Fig. 3.37 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.37. Excavation site scanned with the Gotcha infrared sensor. On the left is the site without texture, on the right with texture. The excavation site pictured measures approximately 4×4 m.
Fig. 3.10 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.10. Photogrammetry model of a Costa Rican Sacrificing Warrior (800–1300 AD) in Basalt (RMAH collections). The possibility of viewing the model without the texture has improved the visibility of the belt markings. https://sketchfab.com/models/03a9c7c61cdf48c8845498d1a6b19a73
Fig. 3.9 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.9. Example of photogrammetry model of Argonauta tuberculata https://sketchfab.com/models/daed659ee685452b91d8f8c91dff761b
Fig. 3.7 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.7. Example of a photogrammetry model of an archaeological copper necklace from DRCongo https://sketchfab.com/models/122d9a4660a24f5181bc586672c9ffe3
Fig. 4.3 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.3. Diplopods in UV fluorescence on top, in white light in the middle, in NIR at the bottom. UV fluorescence show that diplopods can fluoresce in different ways (blue, orange or not at all). NIR show the diplopods without the external pigmented layer.
Fig. 2.30. 3D in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.30. 3D model of a mobile Palaeolithic art from "le Trou des Nutons". Above: coloured surface model; middle: Surface without texture; below: image processed with automatic filtering method to highlight surface features of bison bone. The acquisition was made with a 5 Mpx RGB machine vision camera.
Fig. 3.12 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.12. Sitophilus oryzae (3.8mm body size) scanned with DISC3D. A. Scanning scheme with 398 camera positions. B. EDOF-image from the red camera position. C. Vcm-mesh (~250k polygones). D. Textured model.
Fig. 2.31 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.31. Perisama cardases captured with PLD. The normal colour image with relighting option is found on the upper left. Upper right is the grey scale image, bottom left the normal map and bottom right algorithmically-generated sketch using a filter.
Fig. 2.28. Picture for H in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.28. Picture for H-RTI digitisation. The highlights on the black spheres allow the algorithm to reconstruct a RTI model.
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.