Deep imaging flow cytometry

Abstract

Imaging flow cytometry (IFC) has become a powerful tool for diverse biomedical applications by virtue of its ability to image single cells in a high-throughput manner. However, there remains a...

Intelligent image‐activated sorting of Chlamydomonas reinhardtii by mitochondrial localization

“…Due to the more accurate prediction, a shortened sorting window can be used to reduce the required cell–cell distance, allowing for a higher event rate and increased purity. Computational methods, such as deep imaging flow cytometry [34], could be implemented to improve the classification accuracy of cells by artificially increasing spatial resolution of images. Other imaging modalities, such as Raman imaging and quantitative phase imaging, could also be used to increase the amount of information acquired and potentially provide a label‐free method for sorting based on complex phenotypes [35, 36].…”

“…Due to the more accurate prediction, a shortened sorting window can be used to reduce the required cell-cell distance, allowing for a higher event rate and increased purity. Computational methods, such as deep imaging flow cytometry [34],…”

Advances in Microfluidics: Technical Innovations and Applications in Diagnostics and Therapeutics

“…Several groups have recently incorporated deep learning to minimize this trade-off. Huang et al presented deep-learning-enhanced imaging flow cytometry that enables high-throughput without sacrificing sensitivity and image resolution . Their model synthesizes virtual high-resolution images from low-resolution images acquired with a lower magnification lens.…”

Serial flow cytometry in an inertial focusing optofluidic microchip for direct assessment of measurement variations

“…3 Recent developments in image-based, hyperspectral, and parallelized flow cytometry have sought to enhance the measurement capabilities of high-throughput cell detection. 4–11…”

“…3 Recent developments in image-based, hyperspectral, and parallelized flow cytometry have sought to enhance the measurement capabilities of high-throughput cell detection. [4][5][6][7][8][9][10][11] Despite flow cytometry proving to be incredibly useful as a single-cell measurement tool, fundamental questions remain with respect to the impact of effects such as flow conditions and device variations on per-event measurement uncertainties. Such issues are critical for addressing subsequent problems, i.e., separating population heterogeneity from measurement variation, detecting rare events, and characterizing comparability between instruments.…”