MIRIAM: A machine and deep learning single‐cell segmentation and quantification pipeline for multi‐dimensional tissue images

Increasingly, highly multiplexed tissue imaging methods are used to profile protein expression at the single‐cell level. However, a critical limitation is the lack of robust cell segmentation tools for tissue sections. We present Multiplexed Image Resegmentation of Internal Aberrant Membranes (MIRIA...

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Veröffentlicht in:	Cytometry. Part A 2022-06, Vol.101 (6), p.521-528
Hauptverfasser:	McKinley, Eliot T., Shao, Justin, Ellis, Samuel T., Heiser, Cody N., Roland, Joseph T., Macedonia, Mary C., Vega, Paige N., Shin, Susie, Coffey, Robert J., Lau, Ken S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Cell membranes cell segmentation Cell size Deep learning image processing Image segmentation Learning algorithms Machine learning multiplexed imaging Multiplexing single cell analysis Tissues
Online-Zugang:	Volltext
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