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Two-Dimensional Multi-parameter Cytometry Platform for Single-Cell Analysis.
- Source :
-
Analytical chemistry [Anal Chem] 2023 Sep 05; Vol. 95 (35), pp. 13297-13304. Date of Electronic Publication: 2023 Aug 23. - Publication Year :
- 2023
-
Abstract
- A 2D flow cytometry platform, known as CytoLM Plus, was developed for multi-parameter single-cell analysis. Single particles or cells after hydrodynamic alignment in a microfluidic unit undergo first-dimension fluorescence and side scattering dual-channel optical detection. They were thereafter immediately directed to ICP-MS by connecting the microfluidic unit with a high-efficiency nebulizer to facilitate the second-dimension ICP-MS detection. Flow cytometry measurements of fluorescent microspheres evaluated the performance of CytoLM Plus for optical detection. 6434 fluorescence bursts were observed with a valid signal proportion as high as 99.7%. After signal unification and gating analysis, 6067 sets of single-particle signals were obtained with 6.6 and 6.2% deviations for fluorescence burst area and height, respectively. This is fairly comparable with that achieved by a commercial flow cytometer. Afterward, CytoLM Plus was evaluated by 2D flow cytometry measurement of Ag <superscript>+</superscript> -incubated and AO-stained MCF-7 cells. A program for 2D single-cell signal unification was developed based on the algorithm of screening in lag time window. In the present case, a lag time window of -4.2 ± 0.09 s was determined by cross-correlation analysis and two-parameter optimization, which efficiently unified the concurrent single-cell signals from fluorescence, side scattering, and ICP-MS. A total of 495 sets of concurrent 2D signals were screened out, and the statistical analysis of these single-cell signals ensured 2D multi-parameter single-cell analysis and data elucidation.
- Subjects :
- Humans
Coloring Agents
Flow Cytometry
Single-Cell Analysis
Research Design
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 1520-6882
- Volume :
- 95
- Issue :
- 35
- Database :
- MEDLINE
- Journal :
- Analytical chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 37610312
- Full Text :
- https://doi.org/10.1021/acs.analchem.3c02457