Open AccessAdaptive super-resolution enabled on-chip contact microscopy
Author(s) -
Hao Zhang,
Xiongchao Chen,
Tingting Zhu,
Chengqiang Yi,
Peng Fei
Publication year - 2021
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.435381
Subject(s) - image resolution , image sensor , magnification , optics , pixel , chip , resolution (logic) , sub pixel resolution , computer science , ground truth , lens (geology) , cmos sensor , computer vision , microscopy , artificial intelligence , image processing , materials science , image (mathematics) , physics , digital image processing , telecommunications
We demonstrate an adaptive super-resolution based contact imaging on a CMOS chip to achieve subcellular spatial resolution over a large field of view of ∼24 mm 2 . By using regular LED illumination, we acquire the single lower-resolution image of the objects placed approximate to the sensor with unit magnification. For the raw contact-mode lens-free image, the pixel size of the sensor chip limits the spatial resolution. We develop a hybrid supervised-unsupervised strategy to train a super-resolution network, circumventing the missing of in-situ ground truth, effectively recovering a much higher resolution image of the objects, permitting sub-micron spatial resolution to be achieved across the entire sensor chip active area. We demonstrate the success of this approach by imaging the proliferation dynamics of cells directly cultured on the chip.