Resolution-Enhanced Lensless Color Shadow Imaging Microscopy Based on Large Field-of-View Submicron-Pixel Imaging Sensors

Cheng Yang, Haowen Ma, Xu Cao, Xia Hua, Xiaofeng Bu, Limin Zhang, Tao Yue, Feng Yan; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018, pp. 2246-2253

Abstract


We report a resolution-enhanced lensless color shadow imaging microscopy (RELCSIM) system based on large field-of-view (FOV) submicron-pixel imaging sensors. The physical pixel size of our custom made imaging chip is 0.95mm x 0.95mm, and the pixel-count is 25 millions (5120H x 5120V ). By directly recording the shadow of the samples without any postprocssing, we have realized a microscope with a half-pitch resolution of 1mm and a FOV of 25mm^2 simutaneously. To verify the resolution of our system, the grating samples coated on the surface of the chip are imaged. We further demonstrate the monochromatic and color shadow imaging of muscle tissue specimens with the prototype, which show the potential for applications such as diagnostic pathology.

Related Material


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[bibtex]
@InProceedings{Yang_2018_CVPR_Workshops,
author = {Yang, Cheng and Ma, Haowen and Cao, Xu and Hua, Xia and Bu, Xiaofeng and Zhang, Limin and Yue, Tao and Yan, Feng},
title = {Resolution-Enhanced Lensless Color Shadow Imaging Microscopy Based on Large Field-of-View Submicron-Pixel Imaging Sensors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}