Transformation in Cell Analysis: From Conventional to Spectral Flow Cytometry
Vargas-Ã ngeles C. A. and
D. De la Cruz-Navarro D.
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Vargas-à ngeles C. A.: Laboratory of Cellular Oncology, Cell Differentiation and Cancer Unit, L-4 PB, FES Zaragoza, National Autonomous University of Mexico, Av. Guelatao No 66 Col. Ejercito de Oriente, Iztapalapa, CP 09230, México City, México. Graduate Program in Biological Sciences, National Autonomous University of Mexico, Mexico City, Mexico
D. De la Cruz-Navarro D.: Pharmacy Department, Centro Médico Dalinde, Tuxpan No. 25, Colonia Roma Sur, Cuauhtémoc, CP 06760, Mexico City, Mexico.
International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 7, 1676-1698
Abstract:
Flow cytometry has been essential in cell biology, allowing real-time analysis of individual cells, however, limitations in spectral resolution and the ability to measure multiple parameters simultaneously restricted its application, spectral flow cytometry (SCF) solved these limitations by allowing complete capture of emission spectra, which increased the accuracy of the analysis and allowed the evaluation of up to 40 parameters in one cell. This has driven advances in immunology, oncology and autoimmune diseases, but despite its advantages, the high initial investment and complexity in data management remain barriers to its adoption. It is proposed that the combination with emerging technologies such as nanotechnology and artificial intelligence could revolutionize personalized medicine, improving the speed and accuracy of diagnoses.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bjc:journl:v:12:y:2025:i:67:p:1676-1698
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