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Defocused reflectance imaging for low numerical aperture, large field of view quantitative live cell imaging studies

  • Sophie Bulloch
  • , Tienan Xu
  • , David Herrmann
  • , Paul Timpson
  • , Tri Giang Phan
  • , Yu-Hsuan Lin
  • , Makoto Banno
  • , Yean Jin Lim
  • , Woei Ming Lee*
  • *Corresponding author for this work

Research output: Working and Policy papers › Preprint

Abstract

High-throughput live-cell imaging within incubator environments often necessitates a
compromise between optical resolution and instrument/computational complexity. In
this work, we demonstrate that controlled defocusing, a default function in all optical
microscopes, can be utilized as a primary contrast mechanism for large-scale cell
analysis (7000 cells per field of view). Our results suggest that even at a low numerical
aperture (NA ~ 0.01) and using just epi-illumination, defocused images can generate a
uniform negative contrast across the cell body. This negative contrast improves
automated cell segmentation efficiency over a wide field of view compared to in-focus
imaging. We further evaluated the accessibility of this defocus imaging approach for
both 2D and 3D cultures by implementing an automated cell segmentation protocol on
a commercial off-the-shelf digital Universal Serial Bus (USB) microscope. The compact
form factor of the digital USB microscope facilitates minimal pixel sampling, enabling
high-throughput single-cell detection and continuous tracking across a large adherent
cell population over several days. Our assessments of the utility of defocus imaging for
2D and 3D tissue cultures were further supported by monitoring the negative contrast
changes during the migration and dissociation of 3D tissue spheroids. Our results
show that negative contrast profiles from defocus images enable the quantification of
cell proliferation, division, migration, and cell-to-cluster dissociation within standard
culture environments. This defocusing methodology offers a scalable approach to
extensive high-content screening through simplified instrumentation controls.
Original languageEnglish
PublisherbioRxiv
Number of pages20
Publication statusPublished - 2026

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