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September 30, 2025BioengineeringOpen Access

Label-Free Cancer Detection Methods Based on Biophysical Cell Phenotypes

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Authors

ICIsabel CalejoAAAida Correia de AzevedoRMRaquel Leão Monteiro

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Overview

This review highlights label-free cancer detection techniques, emphasizing biophysical properties and their integration with artificial intelligence for improved diagnostics.

Key Points

  • Label-free cancer detection enhances data reliability and reduces workload, enabling reliable diagnostics.
  • Innovative technologies like holographic microscopy and microfluidics excel in identifying cancer cells effectively.
  • The integration of artificial intelligence in cell detection methods allows for rapid, non-invasive identification.
  • Comparative analysis of label-free methods offers insights into throughput, resolution, and detection capabilities.

Cite This Study

Calejo et al. (2025) studied this question.

synapsesocial.com/papers/68dc26218a7d58c25ebb2d68https://doi.org/10.3390/bioengineering12101045
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