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Single-cell vibration analysis for potential diagnostic applications.

Jared J Topham1, Ali Al-Khaz'Aly2, Salim Ghandorah1

  • 1Department of Medical Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Biophysical Reports
|January 18, 2026
PubMed
Summary
This summary is machine-generated.

Vibrational frequency profiling (VFP) with optical tweezers (OT) shows promise for diagnostics. Optimizing experimental conditions like cell synchronization and environment is key for accurate, reproducible single-cell analysis.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Diagnostic Technology

Background:

  • Vibrational frequency profiling (VFP) using optical tweezers (OT) offers real-time single-cell characterization for diagnostics like cancer screening.
  • Previous studies demonstrated VFP's ability to differentiate samples, but sensitivity and performance across varied conditions needed further investigation.

Purpose of the Study:

  • To quantitatively assess how experimental design changes impact the model separation of different cell types using VFP.
  • To evaluate the influence of microfluidic chambers vs. Petri dishes, cell cycle synchronization, and medium viscosity on VFP accuracy.

Main Methods:

  • VFP was performed on U251 glioblastoma and A549 lung carcinoma cells using OT.
  • Cellular vibrations were analyzed via Fourier Transform, peak detection, and area-under-curve measurements.
  • Partial Least Squares Discriminant Analysis (PLS-DA) with cross-validation classified cell types based on vibrational signatures.

Main Results:

  • Petri dishes provided better classification (F1 score 0.89) than microfluidic chambers (0.79).
  • Cell cycle synchronization improved classification (F1 score 0.83 vs. 0.79) by reducing vibrational variability.
  • Increased medium viscosity showed minor classification improvements (F1 score 0.81 vs. 0.79).

Conclusions:

  • VFP is sensitive to the mechanical and environmental context of single-cell measurements.
  • Standardization of experimental conditions is critical for developing reproducible and clinically translatable VFP-based diagnostic platforms.