Algorithmic self-calibration for optimized 3D quantitative differential phase contrast microscopy

Ruiming Cao; Michael Kellman; David Yonghuan Ren; Regina Eckert; Laura Waller

doi:10.1117/12.2577318

5 March 2021 Algorithmic self-calibration for optimized 3D quantitative differential phase contrast microscopy

Ruiming Cao, Michael Kellman, David Yonghuan Ren, Regina Eckert, Laura Waller

Proceedings Volume 11653, Quantitative Phase Imaging VII; 116530R (2021) https://doi.org/10.1117/12.2577318
Event: SPIE BiOS, 2021, Online Only

Abstract

3D differential phase contrast (3D DPC) microscopy uses asymmetric illumination patterns and axial scanning to recover volumetric maps of refractive index. To avoid the expense of automated axial scanning, we demonstrate 3D DPC without a z-stage by hand spinning the microscope’s defocus knob to scan the object axially while updating illumination patterns on the LED-array microscope. We utilize an inverse problem optimization to retrieve the sample’s volumetric information with measurements from unknown axial positions by jointly solving for each measurement’s axial position. Finally, we explore how to optimize the LED-array illumination patterns for varying axial sampling rates.

Conference Presentation

Citation Download Citation

Ruiming Cao, Michael Kellman, David Yonghuan Ren, Regina Eckert, and Laura Waller "Algorithmic self-calibration for optimized 3D quantitative differential phase contrast microscopy", Proc. SPIE 11653, Quantitative Phase Imaging VII, 116530R (5 March 2021); https://doi.org/10.1117/12.2577318

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