Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy

Yahui Peng; Yulei Jiang; Vladimir M. Liarski; Natalya Kaverina; Marcus R. Clark; Maryellen L. Giger

doi:10.1117/12.910373

23 February 2012 Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy

Yahui Peng, Yulei Jiang, Vladimir M. Liarski, Natalya Kaverina, Marcus R. Clark, Maryellen L. Giger

Author Affiliations +

Proceedings Volume 8315, Medical Imaging 2012: Computer-Aided Diagnosis; 83153F (2012) https://doi.org/10.1117/12.910373
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Analysis of interactions between B and T cells in tubulointerstitial inflammation is important for understanding human lupus nephritis. We developed a computer technique to perform this analysis, and compared it with manual analysis. Multi-channel immunoflourescent-microscopy images were acquired from 207 regions of interest in 40 renal tissue sections of 19 patients diagnosed with lupus nephritis. Fresh-frozen renal tissue sections were stained with combinations of immunoflourescent antibodies to membrane proteins and counter-stained with a cell nuclear marker. Manual delineation of the antibodies was considered as the reference standard. We first segmented cell nuclei and cell membrane markers, and then determined corresponding cell types based on the distances between cell nuclei and specific cell-membrane marker combinations. Subsequently, the distribution of the shortest distance from T cell nuclei to B cell nuclei was obtained and used as a surrogate indicator of cell-cell interactions. The computer and manual analyses results were concordant. The average absolute difference was 1.1±1.2% between the computer and manual analysis results in the number of cell-cell distances of 3 μm or less as a percentage of the total number of cell-cell distances. Our computerized analysis of cell-cell distances could be used as a surrogate for quantifying cell-cell interactions as either an automated and quantitative analysis or for independent confirmation of manual analysis.

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Yahui Peng, Yulei Jiang, Vladimir M. Liarski, Natalya Kaverina, Marcus R. Clark, and Maryellen L. Giger "Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy", Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83153F (23 February 2012); https://doi.org/10.1117/12.910373

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