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Characterizing the Effect of Automated Cell Sorting Solutions on Cytomorphological Changes.
Katsuhide Ikeda1, Shouichi Sato2, Hiroshi Chigira3
1Department of Medical Technology and Sciences, School of Health Sciences at Narita, International University of Health and Welfare, Narita, Japan, katsuhide-ikeda@umin.net.
Acta Cytologica
|June 25, 2019
Summary
Storing cytologic samples in different solutions affects cell size, with cells initially swelling and then contracting over time. This finding is crucial for automated screening accuracy in cytology.
Area of Science:
- Cytopathology
- Cellular morphology
- Automated screening technologies
Background:
- Liquid-based cytology (LBC) is a standard automated screening method for gynecologic and nongynecologic samples.
- Automated systems identify atypical cells using morphological and densitometric features.
- The impact of preservative solutions on cell morphology in LBC is not fully understood.
Purpose of the Study:
- To investigate the morphological effects of various storage solutions on cytologic samples.
- To analyze the temporal changes in cell morphology over time in different solutions.
Main Methods:
- Ascites (AS) samples from peritoneal cancer patients were used.
- Cytologic sediments were stored in physiological saline, Ringer's solution, low-molecular dextran L, VOLUVEN 6%, MIXID L injection (ML), RPMI-1640 medium, and horse serum (HS).
- Samples were stored at 4°C and processed at 0, 1, 2, 4, 7, and 14 days; nuclear and cytoplasmic sizes were measured.
Main Results:
- Samples stored in MIXID L (ML) and horse serum (HS) showed no significant difference in cell size compared to the original ascites sample.
- Other solutions caused significant increases in both cytoplasmic and nuclear areas.
- Over time, cell cytoplasm and nuclei decreased in size across all tested solutions.
Conclusions:
- Cytologic cells initially swell in storage solutions within the first hour.
- Cellular size subsequently contracts over extended storage periods.
- These morphological changes necessitate consideration in automated cytologic analysis and screening algorithms.
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