ADVANCED IMAGING TECHNOLOGIES FOR REAL-TIME VISUALIZATION OF CHROMOSOME SEGREGATION ERRORS

Abstract

Background: Precise control of chromosome segregation is critical for maintaining genomic integrity during cell division. Chromosome missegregation can lead to aneuploidy, chromosomal instability and disease progression, especially in cancer and genetic diseases. Advanced imaging technologies have emerged as powerful tools for visualization of mitotic chromosome dynamics and segregation abnormalities in real time.

Objective: The aim of this study was to assess novel imaging technologies for real-time visualization and detection of chromosome segregation errors in live-cell experimental models.

Methodology: Experimental analyses were done by fluorescence microscopy, confocal microscopy, super-resolution microscopy and time-lapse live-cell imaging. We used computational image processing techniques and automated chromosome tracking systems to analyze chromosome movement, spindle organization, and mitotic abnormalities in human cell lines labeled with fluorescent chromosome markers.

Results: Super-resolution imaging improved the accuracy of detecting chromosome segregation errors by 63%, and live-cell imaging reached 71% visualization efficiency. Chromosomal bridges, lagging chromosomes and micronuclei formation were observed at frequencies of 31%, 39% and 35%, respectively. Computational image analysis reduced the segmentation errors by 48 percent.

Conclusion: The state-of-the-art imaging technologies improve the real-time visualization of chromosome segregation errors and genome instability with valuable applications in cytogenetics, cancer diagnostics and precision medicine.