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13 March 2024 Optimized measurement of the 3D position and orientation of single molecules thanks to deep learning and PSF engineering
Pierre Jouchet, Anish R. Roy, William E. Moerner
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Proceedings Volume PC12849, Single Molecule Spectroscopy and Superresolution Imaging XVII; PC128490J (2024) https://doi.org/10.1117/12.3009184
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Simultaneous measurement of the 3D orientation and the 3D position of a single fluorescent molecule can be achieved by Point Spread Function (PSF) engineering. However, this 5D problem is complex to optimize and time consuming when solved with classical approaches. To overcome this problem, we developed a deep learning approach that allows us to obtain an optimized phase mask as well as an Analysis Neural Network that estimates the 5 parameters of immobilized single molecules with a reduced computation time. Our method shows an axial precision of about 30 nm and an orientation precision of about 10 degrees, and it can be applied to complex problems such as molecular orientation in membranes.
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Pierre Jouchet, Anish R. Roy, and William E. Moerner "Optimized measurement of the 3D position and orientation of single molecules thanks to deep learning and PSF engineering", Proc. SPIE PC12849, Single Molecule Spectroscopy and Superresolution Imaging XVII, PC128490J (13 March 2024); https://doi.org/10.1117/12.3009184
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KEYWORDS
3D metrology
Point spread functions
Deep learning
Engineering
Molecules
Fluorescence
Neural networks
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