label-free-identification-lymphocyte-subtypes-using-three-dimensional

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

We describe here a protocol for the label-free identification of lymphocyte subtypes using quantitative phase imaging and machine learning. Identification ...

Korea Advanced Institute of Science and Technology

Tomocube, Inc.

Quantitative phase imaging (QPI) has emerged as one of the powerful imaging tools for the study of live cells in a non-invasive manner. In particular, multimodal approaches combining QPI and fluorescence microscopic techniques have been recently developed for superior spatiotemporal resolution as well as high molecular specificity. In this review, we briefly summarize recent advances in three-dimensional QPI combined with fluorescence techniques for the correlative study of cell pathophysiology. Through this review, biologists and clinicians can be provided with insights on this rapidly growing field of research and may find broader applications to investigate unrevealed nature in cell physiology and related diseases.

Young Seo Kim

KAIST Institute for Health Science and Technology,
Department of Chemical and Biomolecular Engineering

Korea Advanced Institute of Science and Technology

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Young Seo Kim

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}KAIST Institute for Health Science and Technology,Department of Chemical and Biomolecular Engineering

Korea Advanced Institute of Science and Technology

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

KAIST Institute for Health Science and Technology,
Department of Chemical and Biomolecular Engineering