Keywords
biological collections
digitization
specimens
How to Cite
Abstract
Biological collections are important reservoirs of biological heritage. As such, these institutions make constant efforts to preserve and study the specimens in their custody, as well as to make available the information that accompanies them. Scientific collections have benefited from recent technological advances that make available an enormous capacity for the generation of images that facilitate the achievement of preservation and dissemination objectives. However, the generation of high-resolution images is seen as a process with a high demand for equipment and a high budget investment, which hampers its implementation. For this reason, in this work we synthesize the requirements and steps necessary to obtain, process, and store images of arthropods, proposing solutions of different costs, which can be adjusted to the needs and realities of Latin American entomological collections and their potential users.References
Allen, E. y Triantaphillidou, S. (2012). The Manual of Photography. Taylor & Francis Group.
Bäumler, F., Koehnsen, A., Tramsen, H. T., Gorb, S. N. y Büsse, S. (2020). Illuminating nature’s beauty: modular, scalable and low-cost LED dome illumination system using 3D‑printing technology. Scientific Reports, 10(1), 12172. https://doi.org/10.1038/s41598-020-69075-y.
Bevilaqua, M. (2020). Guide to image editing and production of figures for scientific publications with an emphasis on taxonomy. Zoosystematics and Evolution, 96(1), 139-158. https://doi.org/10.3897/zse.96.49225.
Blagoderov, V., Kitching, I., Livermore, L., Simonsen, T. y Smith, V. (2012). No specimen left behind: industrial scale digitization of natural history collections. ZooKeys, 209, 133-146. https://doi.org/10.3897/zookeys.209.3178.
Brecko, J. y Mathys, A. (2020). Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections. European Journal of Taxonomy, (623). https://doi.org/10.5852/ejt.2020.623.
Brecko, J., Mathys, A., Dekoninck, W., Leponce, M., VandenSpiegel, D. y Semal, P. (2014). Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys, 464, 1-23. https://doi.org/10.3897/zookeys.464.8615.
Buffington, M. L. y Gates, M. (2008). Advanced Imaging Techniques II: Using a Compound Microscope for Photographing Point-Mount Specimens. American Entomologist, 54(4), 222-224. https://doi.org/10.1093/ae/54.4.222.
Buffington, M. L., Burks, R. A. y McNeil, L. A. (2005). Advanced Techniques for Imaging Parasitic Hymenoptera (Insecta). American Entomologist, 51(1), 50-56. https://doi.org/10.1093/ae/51.1.50.
Doan, T-N. y Nguyen, C. V. (2023) A low-cost digital 3D insect scanner. Information Processing in Agriculture, 3. https://doi.org/10.1016/j.inpa.2023.03.003.
Eliceiri1, K., Berthold, M., Goldberg, I., Ibáñez, L., Manjunath, B., Martone, M., Murphy, R., Peng, H., Plant, A., Roysam, B., Stuurman, N., Swedlow, J., Tomancak, P. y Carpenter, A. (2012). Biological imaging software tools. Nature Methods, 9(7), 697-710. https://doi.org/10.1038/nmeth.2084.
Holovachov, O., Zatushevsky, A. y Shydlovsky, I. (2014). Whole-Drawer Imaging of Entomological Collections: Benefits, Limitations and Alternative Applications. Journal of Conservation and Museum Studies, 12(1), 1-13. http://dx.doi.org/10.5334/jcms.1021218.
Høye, T., Ärje, J., Bjerge, K. y Raitoharju, J. (2021). Deep learning and computer vision will transform entomology. PNAS, 118(2), e2002545117. https://doi.org/10.1073/pnas.2002545117.
iDigBio. (2023). Recommendations for the Acquisition, Processing, and Archiving of Digital Media. https://www.idigbio.org/wiki/index.php/Recommendations_for_the_Acquisition,_Processing,_and_Archiving_of_Digital_Media.
Kawada, R. y Buffington, M. L. (2016). A Scalable and Modular Dome Illumination System for Scientific Microphotography on a Budget. PLoS ONE, 11(5), e0153426. https://doi.org/10.1371/journal.pone.0153426.
Kerr, P. H., Fisher, E. M. y Buffington, M. L. (2008). Dome lighting for insect imaging under a microscope. American Entomologist, 54(4), 198-200. https://doi.org/10.1093/ae/54.4.198.
Lessard, B. D., Whiffin, A. L. y Wild, A. L. (2017). A Guide to Public Engagement for Entomological Collections and Natural History Museums in the Age of Social Media. Annals of the Entomological Society of America, 110(5), 467-479. https://doi.org/10.1093/aesa/sax058.
Martin, J. E. H. (1977). The insects and arachnids of Canada, Part 1. Collecting, preparing and preserving insects, mites, and spiders. Research Branch, Canada Department of Agriculture.
Mertens, J. E. J., Van Roie, M., Merckx, J. y Dekoninck, W. (2017). The use of low cost compact cameras with focus stacking functionality in entomological digitization projects. ZooKeys, 712, 141-154. https://doi.org/10.3897/zookeys.712.20505.
Porto, A., Rolfe, S. y Maga, A. M. (2021). ALPACA: A fast and accurate computer vision approach for automated landmarking of three-dimensional biological structures. Methods in Ecology and Evolution, 12(11), 2129-2144. https://doi.org/10.1111/2041-210X.13689.
Schuh, R., Hewson-Smith, S. y Ascher, J. (2010). Specimen Databases: A Case Study in Entomology using Web-based Software. American Entomologist, 56(4), 206-216. https://doi.org/10.1093/ae/56.4.206.
Shui, W., Profico, A. y O’Higgins, P. (2023). A Comparison of Semilandmarking Approaches in the Analysis of Size and Shape. Animals, 13(7), 1179. https://doi.org/10.3390/ani13071179.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2024 Intropica