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Deep Learning‐Enabled Pixel‐Super‐Resolved Quantitative Phase Microscopy
A deep learning‐based technique for quantitative phase microscopy with pixel super‐resolution capability is proposed in article 2300488 by Chao Zuo and co‐workers, enabling full‐field‐of‐view, high‐resolution and high‐speed quantitative phase imaging of unlabeled biological specimens, while requiring only a single frame of low‐resolution...
A new technique of deep learning‐based pixel‐super‐resolved quantitative phase microscopy (DL‐SRQPI) is proposed, achieving rapid wide‐field high‐resolution and high‐throughput quantitative phase imaging (QPI) from single‐shot low‐resolution intensity measurement. By training a neural network with sufficiently paired low‐resolution intensity and high‐resolution phase data, the network is empowered...
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