Skip to main content

Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry.

Publication ,  Journal Article
Park, H-S; Price, H; Ceballos, S; Chi, J-T; Wax, A
Published in: Cells
September 17, 2021

Holographic cytometry is introduced as an ultra-high throughput implementation of quantitative phase imaging of single cells flowing through parallel microfluidic channels. Here, the approach was applied for characterizing the morphology of individual red blood cells during storage under regular blood bank conditions. Samples from five blood donors were examined, over 100,000 cells examined for each, at three time points. The approach allows high-throughput phase imaging of a large number of cells, greatly extending our ability to study cellular phenotypes using individual cell images. Holographic cytology images can provide measurements of multiple physical traits of the cells, including optical volume and area, which are observed to consistently change over the storage time. In addition, the large volume of cell imaging data can serve as training data for machine-learning algorithms. For the study here, logistic regression was used to classify the cells according to the storage time points. The analysis showed that at least 5000 cells are needed to ensure accuracy of the classifiers. Overall, results showed the potential of holographic cytometry as a diagnostic tool.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Cells

DOI

EISSN

2073-4409

Publication Date

September 17, 2021

Volume

10

Issue

9

Location

Switzerland

Related Subject Headings

  • Single-Cell Analysis
  • Machine Learning
  • Image Processing, Computer-Assisted
  • Humans
  • Holography
  • Flow Cytometry
  • Erythrocytes
  • Algorithms
  • 32 Biomedical and clinical sciences
  • 31 Biological sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Park, H.-S., Price, H., Ceballos, S., Chi, J.-T., & Wax, A. (2021). Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry. Cells, 10(9). https://doi.org/10.3390/cells10092455
Park, Han-Sang, Hillel Price, Silvia Ceballos, Jen-Tsan Chi, and Adam Wax. “Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry.Cells 10, no. 9 (September 17, 2021). https://doi.org/10.3390/cells10092455.
Park H-S, Price H, Ceballos S, Chi J-T, Wax A. Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry. Cells. 2021 Sep 17;10(9).
Park, Han-Sang, et al. “Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry.Cells, vol. 10, no. 9, Sept. 2021. Pubmed, doi:10.3390/cells10092455.
Park H-S, Price H, Ceballos S, Chi J-T, Wax A. Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry. Cells. 2021 Sep 17;10(9).

Published In

Cells

DOI

EISSN

2073-4409

Publication Date

September 17, 2021

Volume

10

Issue

9

Location

Switzerland

Related Subject Headings

  • Single-Cell Analysis
  • Machine Learning
  • Image Processing, Computer-Assisted
  • Humans
  • Holography
  • Flow Cytometry
  • Erythrocytes
  • Algorithms
  • 32 Biomedical and clinical sciences
  • 31 Biological sciences