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Compressive sensing high-resolution quantitative phase imaging using encoded illumination
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DOI：10.3788/LPB.2026.20005.png)
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Abstract
En 中文
As a label-free imaging technique, interferometric quantitative phase microscopy (iQPM) opens a new avenue for live cell imaging. However, its applications in a large field of view (FOV) in situ cellular phenotyping are limited by the spatial bandwidth product, which imposes a trade-off between FOV and spatial resolution. To address this limitation, we designed a quantitative phase imaging scheme, termed the encoded illumination interferometric quantitative phase microscopy (EI-iQPM). We applied the single-pixel method to iQPM by encoding the sample beam before it passes through the sample. We thus can sample the wavefront of the target and recover sub-pixel-level signals through compressive sensing. Testing our method using various resolution targets and cells, we found that the proposed method significantly improves the resolution of large-FOV quantitative phase images. We envision that EI-iQPM can be applied to image the dynamic processes of cell collectives in a large FOV.
Keywords:
compressive sensing
interferometric quantitative phase microscopy
super-resolution imaging
Journal
L
IF:
1.9
Papers:
21
Citations:
1.1K