Udith Haputhanthri,1 Kithmini Herath,1 Ramith Hettiarachchi,1 Hasindu Kariyawasam,1 Azeem Ahmad,2 Balpreet S. Ahluwalia,2 Chamira U. S. Edussooriya,3 Dushan N. Wadduwage1
1Harvard Univ. (United States) 2UiT The Arctic Univ. of Norway (Norway) 3Univ. of Moratuwa (Sri Lanka)
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With applications ranging from metabolomics to histopathology, quantitative phase microscopy (QPM) is a powerful label-free imaging modality. However, the speed of current QPM systems is limited by electronic hardware. To improve throughput further, here we propose differentiable optical-electronic quantitative phase microscopy (∂μ) that acquires images in a compressed form such that more information can be transferred beyond the electronic hardware bottleneck. The proposed microscopy uses optical feature extractors as image compressors. The resultant intensity distribution is then decompressed into QPM images by a reconstruction network. By optimizing optical-electronic parameters in an end-to-end manner, our method can improve the QPI throughput from Hours to Seconds (more than an order of magnitude).
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