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Distinguishing Healthy and Carcinoma Cell Cultures Using Fluorescence Spectra Decomposition with a Genetic-Algorithm-Based Code
- 1.0570687 - ÚCHP 2024 RIV CH eng J - Journal Article
Pospíšilová, M. - Kalábová, H. - Kuncová, Gabriela
Distinguishing Healthy and Carcinoma Cell Cultures Using Fluorescence Spectra Decomposition with a Genetic-Algorithm-Based Code.
Biosensors. Roč. 13, č. 2 (2023), č. článku 256. E-ISSN 2079-6374
Institutional support: RVO:67985858
Keywords : steady state fluorescence * cell suspension auto-fluorescence * genetic algorithm
OECD category: Medical engineering
Impact factor: 4.9, year: 2023
Method of publishing: Open access
https://www.mdpi.com/2079-6374/13/2/256
In this paper, we analysed the steady state fluorescence spectra of cell suspensions containing healthy and carcinoma fibroblast mouse cells, using a genetic-algorithm-spectra-decomposition software (GASpeD). In contrast to other deconvolution algorithms, such as polynomial or linear unmixing software, GASpeD takes into account light scatter. In cell suspensions, light scatter plays an important role as it depends on the number of cells, their size, shape, and coagulation. The measured fluorescence spectra were normalized, smoothed and deconvoluted into four peaks and background. The wavelengths of intensities' maxima of lipopigments (LR), FAD, and free/bound NAD(P)H (AF/AB) of the deconvoluted spectra matched published data. In deconvoluted spectra at pH = 7, the fluorescence intensities of the AF/AB ratio in healthy cells was always higher in comparison to carcinoma cells. In addition, the AF/AB ratio in healthy and carcinoma cells were influenced differently by changes in pH. In mixtures of healthy and carcinoma cells, AF/AB decreases when more than 13% of carcinoma cells are present. Expensive instrumentation is not required, and the software is user friendly. Due to these attributes, we hope that this study will be a first step in the development of new cancer biosensors and treatments with the use of optical fibers.
Permanent Link: https://hdl.handle.net/11104/0342016
File Download Size Commentary Version Access biosensors-13-00256.pdf 0 4 MB Publisher’s postprint open-access
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