Cell identification in high-throughput imaging applications using detection transformers

Rahmetullah Varol; Tülay Aydin

doi:10.1117/12.3003615

13 March 2024 Cell identification in high-throughput imaging applications using detection transformers

Rahmetullah Varol, Tülay Aydin

Proceedings Volume PC12846, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII; PC1284606 (2024) https://doi.org/10.1117/12.3003615
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Identifying and relocating individual cells, especially sperm for IVF, is challenging due to their similar look, rotation, and transparency. We propose a new method using a vision transformer network, trained on 3D images of cells taken with a holotomographic microscope. Our approach uses a Detection Transformer (DETR) network, which makes unique predictions about the cells and their context. This method improves the speed and accuracy of cell identification in IVF, offering potential for better success rates and optimization of high-throughput imaging.

Conference Presentation

Citation Download Citation

Rahmetullah Varol and Tülay Aydin "Cell identification in high-throughput imaging applications using detection transformers", Proc. SPIE PC12846, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII, PC1284606 (13 March 2024); https://doi.org/10.1117/12.3003615

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