Diagnostic Potential of Imaging Flow Cytometry

Overview

Journal Trends Biotechnol

Specialty Biochemistry

Date 2018 Feb 4

PMID 29395345

Citations 43

Authors

Minh Doan

Ivan Vorobjev

Paul Rees

Andrew Filby

Olaf Wolkenhauer

Anne E Goldfeld

Judy Lieberman

Natasha Barteneva

Anne E Carpenter

Holger Hennig

Affiliations

Soon will be listed here.

Abstract

Imaging flow cytometry (IFC) captures multichannel images of hundreds of thousands of single cells within minutes. IFC is seeing a paradigm shift from low- to high-information-content analysis, driven partly by deep learning algorithms. We predict a wealth of applications with potential translation into clinical practice.

Citing Articles

Using deep learning to decipher the impact of telomerase promoter mutations on the dynamic metastatic morpholome.

Nevarez A, Mudla A, Diaz S, Hao N PLoS Comput Biol. 2024; 20(7):e1012271.

PMID: 39078811 PMC: 11288469. DOI: 10.1371/journal.pcbi.1012271.

Imaging Flow Cytometry and Convolutional Neural Network-Based Classification Enable Discrimination of Hematopoietic and Leukemic Stem Cells in Acute Myeloid Leukemia.

Hybel T, Jensen S, Rodrigues M, Hybel T, Pedersen M, Qvick S Int J Mol Sci. 2024; 25(12).

PMID: 38928171 PMC: 11203419. DOI: 10.3390/ijms25126465.

High-speed optical imaging with sCMOS pixel reassignment.

Mandracchia B, Zheng C, Rajendran S, Liu W, Forghani P, Xu C Nat Commun. 2024; 15(1):4598.

PMID: 38816394 PMC: 11139943. DOI: 10.1038/s41467-024-48987-7.

Imaging Flow Cytometry: Development, Present Applications, and Future Challenges.

Dimitriadis S, Dova L, Kotsianidis I, Hatzimichael E, Kapsali E, Markopoulos G Methods Protoc. 2024; 7(2).

PMID: 38668136 PMC: 11054958. DOI: 10.3390/mps7020028.

Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data.

Rosenberg C, Rodrigues M, Bill M, Ludvigsen M Sci Rep. 2024; 14(1):9349.

PMID: 38654058 PMC: 11039460. DOI: 10.1038/s41598-024-59875-x.