scAnt
scAnt
scAnt is an open-source platform for the creation of digital 3D models of arthropods (and other small objects). It consists of a scanner and a Graphical User Interface (GUI), and enables the automated generation of multi-view Extended Depth Of Field (EDOF) images. These images are then masked with a novel automatic routine which combines random forest-based edge-detection, adaptive thresholding, and connected component labelling. The masked images can then be processed further with a photogrammetry software package of choice, including open-source options such as Meshroom, to create high-quality, textured 3D models. As a result of the exclusive reliance on generic hardware components, rapid prototyping, and open-source software, scAnt costs only a fraction of available comparable systems. The resulting accessibility of scAnt will (i) drive the development of novel and powerful methods for machine learning-driven behavioural studies, leveraging synthetic data; (ii) increase accuracy in comparative morphometric studies as well as extend the available parameter space with area and volume measurements; (iii) inspire novel forms of outreach; and (iv) aid in the digitisation efforts currently underway in several major natural history collections.
Want to build your own scAnt?
awards
- 2022 // ERC Proof-of-Concept Grant, European Research Council, London ScAnt - an open-source platform for the creation of 3D models of arthropods (and other small objects) Awarded in collaboration with David Labonte, for a total of €150,000, to support the development of the scAnt plattform into an accessible, low-cost, and commercially viable scanning solution for the high-resolution digitisation of small objects.
- 1st Prize Winner Amazon PhD Prizes for Outstanding Achievement in Robotics 2021
