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Ghost cytometry

Ghost imaging is a technique used to produce an object’s image without using a spatially resolving detector. Here we develop a technique we term "ghost cytometry," an image-free ultrafast fluorescence "imaging" cytometry based on a single-pixel detector. Spatial information obtained from the motion of cells relative to a static randomly patterned optical structure is compressively converted into signals that arrive sequentially at a single-pixel detector. Combinatorial use of the temporal waveform with the intensity distribution of the random pattern allows us to computationally reconstruct cell morphology. More importantly, we show that applying machine-learning methods directly on the compressed waveforms without image reconstruction enables efficient image-free morphology-based cytometry. Despite a compact and inexpensive instrumentation, image-free ghost cytometry achieves accurate and high-throughput cell classification and selective sorting on the basis of cell morphology without a specific biomarker, both of which have been challenging to accomplish using conventional flow cytometers.

Authors:   Sadao Ota; Ryoichi Horisaki; Yoko Kawamura; Masashi Ugawa; Issei Sato; Kazuki Hashimoto; Ryosuke Kamesawa; Kotaro Setoyama; Satoko Yamaguchi; Katsuhito Fujiu; Kayo Waki; Hiroyuki Noji
Journal:   Science
Volume:   360
edition:   6394
Year:   2018
Pages:   1246
DOI:   10.1126/science.aan0096
Publication date:   15-Jun-2018
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