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Throughout the 18th and 19th centuries, scientific collections played a fundamental role in advancing science and the construction of knowledge. In time, changes in teaching methods rendered many of these artifacts obsolete, which in turn, led to their abandonment. Methods for the preservation of these artifacts have been explored by diverse professionals, including the usage of alternative methods like 3D scanning. However, the inherent material properties of each artifact often present challenges for accurate recording, primarily due to the materials' reflective nature. This paper describes strategies for achieving precise 3D digitization of human, animal, and plant anatomy didactic artifacts using structured light scanners. Our main goal is to ensure optimal accuracy in preserving our historical legacy. Additionally, our proposed methodology aims to facilitate a more comprehensive analysis and application in the conservation‐restoration processes. Despite focusing on a specific collection, this methodology is easily adaptable to other works with similar characteristics.
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Emanuel Sterp Moga (2026) studied this question.
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