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Lensless, reflection-based dark-field microscopy (RDFM) on a CMOS chip.

Meruyert Imanbekova1,2, Ayyappasamy Sudalaiyadum Perumal1,2, Sara Kheireddine1

  • 1Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0E9, Canada.

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Summary
This summary is machine-generated.

This study introduces a new lens-free imaging system using oblique illumination for dark-field microscopy and 3D shadow imaging. The platform achieves high resolution for analyzing microorganisms and cells directly on a sensor.

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Area of Science:

  • Microscopy and Imaging Technologies
  • Biophotonics
  • Optical Measurement Systems

Background:

  • Traditional microscopy often requires complex optics and sample preparation.
  • Developing cost-effective, high-resolution imaging solutions is crucial for biological and material science applications.
  • Lens-free imaging offers a simplified approach to microscopy, reducing system complexity and cost.

Purpose of the Study:

  • To present a novel lens-free imaging platform utilizing oblique illumination.
  • To demonstrate its capabilities for both on-sensor dark-field microscopy and shadow-based 3D object measurements.
  • To evaluate the system's performance in terms of spatial resolution and imaging modalities.

Main Methods:

  • An LED point source was used for illumination at varying angles (0°-90°) onto a 5-megapixel CMOS sensor.
  • Two imaging modalities were implemented: shadow imaging (0°-85° illumination) and dark-field imaging (>85° illumination).
  • Analytes including polystyrene beads, microorganisms, and cells were imaged directly on the sensor.

Main Results:

  • The system achieved a spatial resolution limited by the sensor's pixel size (∼1.4 µm) across the entire sensor area.
  • Shadow imaging enabled estimation of 3D object dimensions for beads and microorganisms.
  • Dark-field mode showed a 3-4x background intensity reduction and enabled detection of morphological features in bacteria and algae.

Conclusions:

  • The developed lens-free platform offers versatile imaging capabilities for micro-scale objects.
  • It provides a cost-effective alternative for applications requiring dark-field microscopy and 3D dimensional analysis.
  • The system demonstrates potential for label-free detection and morphological analysis of biological samples.