We demonstrate the possibility to realize supervised machine learning for a cell detection task without having to manually annotate images through the sole use of synthetic images in the training and testing steps of the learning process. This is successfully illustrated on 3D cellular aggregates observed under light sheet fluorescence microscopy with a shallow and deep learning detection approach. A performance of more than 90% of good detection is obtained on real images.
Pejman Rasti, Rosa Huaman , Charlotte Riviere, and David Rousseau, "Supervised machine learning for 3D light microscopy without manual annotation: application to spheroids," Proc. SPIE 10677, Unconventional Optical Imaging, 1067728 (Presented at SPIE Photonics Europe: April 26, 2018; Published: 24 May 2018); https://doi.org/10.1117/12.2303706.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the conference proceedings. They include the speaker's narration along with a video recording of the presentation slides and animations. Many conference presentations also include full-text papers. Search and browse our growing collection of more than 12,000 conference presentations, including many plenary and keynote presentations.