Quantitative Phase Imaging for Cytology

Label-free quantitative imaging for advanced single-cell analysis

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Quantitative Phase Imaging (QPI) is a label-free microscopy technique that enables accurate, artefact-free imaging of living cells without staining. Based on Phasics' patented Quadriwave Lateral Shearing Interferometry (QWLSI) technology, it measures the Optical Path Difference (OPD) introduced by each cell from a single acquisition, providing quantitative information such as morphology, dry mass, density and intracellular organization. Easily integrated into existing optical microscopes as a plug-and-play camera, the Phasics solution supports live-cell imaging, multimodal workflows combining phase and fluorescence microscopy, and high-content screening applications powered by machine learning and artificial intelligence.

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The Phasics quantitative phase microscopy solution allows analyzing large living-cell populations at the single-cell level. It delivers a comprehensive dataset of accurate quantitative parameters for individual cells such as: morphology (surface, shape factor…), dry mass, and many phase-shift-related parameters (density, homogeneity, proteins distribution... ). Thus it is ideal for multiple assays as an automated image cytometer.

  • Artefact-free images: ensure robust and automated segmentation and measurements
  • Label-free technique: allows long time-lapse microscopy for non-invasive cellular study: motility, proliferation, monitoring of cell cycle, apoptosis, viability, differentiation, cytotoxicity…
  • Merging with fluorescence microscopy: to get a comprehensive dataset at the cellular and molecular level
  • Easy integration to high-content screening platform: provides valuable quantitative data combined with machine learning algorithms to enable automated diagnosis
Measurement setup Measurement setup
Quantitative Phase Imaging for Cytology-Measurement setup

Dry mass and morphometric parameters are proven indicators of many cell mechanisms: viability (apoptosis detection…), cell growth (cell cycle status, proliferation…), and cell differentiation based on phenotypic characteristics. They also reveal cell abnormalities: shape change, heterogeneity, presence of parasites… They are useful parameters to identify and monitor cells in a large population.

It can be applied to:

  • Cancer cell proliferation & growth rate monitoring
  • Pharmacology research: drug screening, drug discovery, cytotoxicity assays
  • Bioprocess: Cell culture monitoring, microbiology
  • Blood testing: Red blood cell pathology identification such as anemia type identification, parasitemia calculation
  • Stem cell monitoring & selection in regenerative medicine

Advantages

Easy to integrate

  • Easiest QPI technique to integrate
  • Compatible with high-content screening
  • Multi-parametric single-cell classification via artificial intelligence

Highly Reliable Measurement

  • Automated segmentation and analysis 
  • Artefact-free images
  • High-sensitivity phase measurement

Label-Free Imaging

  • No photobleaching
  • Fast protocol
  • Cell monitoring over long period of time