Literature DB >> 21721824

Label-free and noninvasive optical detection of the distribution of nanometer-size mitochondria in single cells.

Xuantao Su1, Yuanyuan Qiu, Leah Marquez-Curtis, Manisha Gupta, Clarence E Capjack, Wojciech Rozmus, Anna Janowska-Wieczorek, Ying Y Tsui.   

Abstract

A microfluidic flow cytometric technique capable of obtaining information on nanometer-sized organelles in single cells in a label-free, noninvasive optical manner was developed. Experimental two-dimensional (2D) light scattering patterns from malignant lymphoid cells (Jurkat cell line) and normal hematopoietic stem cells (cord blood CD34+ cells) were compared with those obtained from finite-difference time-domain simulations. In the simulations, we assumed that the mitochondria were randomly distributed throughout a Jurkat cell, and aggregated in a CD34+ cell. Comparison of the experimental and simulated light scattering patterns led us to conclude that distinction from these two types of cells may be due to different mitochondrial distributions. This observation was confirmed by conventional confocal fluorescence microscopy. A method for potential cell discrimination was developed based on analysis of the 2D light scattering patterns. Potential clinical applications using mitochondria as intrinsic biological markers in single cells were discussed in terms of normal cells (CD34+ cell and lymphocytes) versus malignant cells (THP-1 and Jurkat cell lines).

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Year:  2011        PMID: 21721824     DOI: 10.1117/1.3583577

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  1 in total

1.  Integration of light scattering with machine learning for label free cell detection.

Authors:  Wendy Yu Wan; Lina Liu; Xiaoxuan Liu; Wei Wang; Md Zahurul Islam; Chunhua Dong; Craig R Garen; Michael T Woodside; Manisha Gupta; Mrinal Mandal; Wojciech Rozmus; Ying Yin Tsui
Journal:  Biomed Opt Express       Date:  2021-05-19       Impact factor: 3.732

  1 in total

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