scholarly journals Quantitative Phase Imaging Flow Cytometry for Ultra‐Large‐Scale Single‐Cell Biophysical Phenotyping

2019 ◽  
Vol 95 (5) ◽  
pp. 510-520 ◽  
Author(s):  
Kelvin C.M. Lee ◽  
Maolin Wang ◽  
Kathryn S.E. Cheah ◽  
Godfrey C.F. Chan ◽  
Hayden K.H. So ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
Large Scale ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Imaging Flow Cytometry

scholarly journals Multi-ATOM: Ultrahigh-throughput single-cell quantitative phase imaging with subcellular resolution

2019 ◽  
Author(s):  
Kelvin C. M. Lee ◽  
Andy K. S. Lau ◽  
Anson H. L. Tang ◽  
Maolin Wang ◽  
Aaron T. Y. Mok ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Large Scale ◽  
Phase Retrieval ◽  
Leukemic Cells ◽  
Phase Imaging ◽  
Label Free ◽  
Quantitative Phase Imaging ◽  
Phase Gradient ◽  
Quantitative Phase

AbstractA growing body of evidence has substantiated the significance of quantitative phase imaging (QPI) in enabling cost-effective and label-free cellular assay, which provides useful insights into understanding biophysical properties of cells and their roles in cellular functions. However, available QPI modalities are limited by the loss of imaging resolution at high throughput and thus run short of sufficient statistical power at the single cell precision to define cell identities in a large and heterogeneous population of cells – hindering their utility in mainstream biomedicine and biology. Here we present a new QPI modality, coined multi-ATOM that captures and processes quantitative label-free single-cell images at ultra-high throughput without compromising sub-cellular resolution. We show that multi-ATOM, based upon ultrafast phase-gradient encoding, outperforms state-of-the-art QPI in permitting robust phase retrieval at a QPI throughput of >10,000 cell/sec, bypassing the need for interferometry which inevitably compromises QPI quality under ultrafast operation. We employ multi-ATOM for large-scale, label-free, multi-variate, cell-type classification (e.g. breast cancer sub-types, and leukemic cells versus peripheral blood mononuclear cells) at high accuracy (>94%). Our results suggest that multi-ATOM could empower new strategies in large-scale biophysical single-cell analysis with applications in biology and enriching disease diagnostics.

Large-scale single-cell fractal analysis based on quantitative phase imaging

2021 ◽  
Author(s):  
Ziqi Zhang ◽  
Queenie T. K. Lai ◽  
Kelvin C. M. Lee ◽  
Kenneth K. Y. Wong ◽  
Kevin K. Tsia
Keyword(s):  
Single Cell ◽  
Fractal Analysis ◽  
Large Scale ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Multiparametric quantitative phase imaging for real-time, single cell, drug screening in breast cancer

2021 ◽  
Author(s):  
Edward R Polanco ◽  
Tarek E Moustafa ◽  
Andrew Butterfield ◽  
Sandra D Scherer ◽  
Emilio Cortes-Sanchez ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Rapid Determination ◽  
Single Agent ◽  
Breast Cancer Cell Lines ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Single Experiment ◽  
Quantitative Phase ◽  
Endpoint Assay

Quantitative phase imaging (QPI) measures the growth rate of individual cells by quantifying changes in mass versus time. Here, we use the breast cancer cell lines MCF-7, BT-474, and MDA-MB-231 to validate QPI as a multiparametric approach for determining response to single-agent therapies. Our method allows for rapid determination of drug sensitivity, cytotoxicity, heterogeneity, and time of response for up to 100,000 individual cells or small clusters in a single experiment. We find that QPI EC50 values are concordant with CellTiter-Glo (CTG), a gold standard metabolic endpoint assay. In addition, we apply multiparametric QPI to characterize cytostatic/cytotoxic and rapid/slow responses and track the emergence of resistant subpopulations. Thus, QPI reveals dynamic changes in response heterogeneity in addition to average population responses, a key advantage over endpoint viability or metabolic assays. Overall, multiparametric QPI reveals a rich picture of cell growth by capturing the dynamics of single-cell responses to candidate therapies.

Sign in / Sign up

Export Citation Format

Share Document