Science· 2018Q1
Ghost cytometry
- 248citations
- Q1SCImago
- 2018year
Short summary
Ghost cytometry reconstructs cell morphology and classifies/sorts cells using a single-pixel detector and machine learning on compressed waveforms, bypassing traditional imaging.
AI-generated from the title and abstract; the full text is not read.
Key points
- Ghost cytometry uses a single-pixel detector and a static random optical pattern to capture cell information.
- Spatial information is converted into temporal signals based on cell motion.
- Machine learning applied to compressed waveforms enables image-free cell morphology reconstruction.
- Achieves high-throughput cell classification and sorting without biomarkers or image reconstruction.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Science, 2018 · DOI ↗
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Field: Acoustics and Ultrasonics
Acoustics and UltrasonicsPhysics and Astronomy