Skip to main navigation Skip to search Skip to main content

Miniaturized optimal incident light angle-fitted dark field system for contrast-enhanced real-time monitoring of 2D/3D-projected cell motions

  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

In the field of biology, dark field microscopy provides superior insight into cells and subcellular structures. However, most dark field microscopes are equipped with a dark field filter and a light source on a 2D-based specimen, so only a flat sample can be observed in a limited space. We propose a compact cell monitoring system with built-in dark field filter with an optimized incident angle of the light source to provide real-time cell imaging and spatial cell monitoring for long-term free from phototoxicity. 2D projection imaging was implemented using a modular condenser lens to acquire high-contrast images. This enabled the long-term monitoring of cells, and the real-time monitoring of cell division and death. This system was able to image, by 2D projection, cells on the surface thinly coated with multiwalled carbon nanotubes, as well as living cells that migrated along the surface of glass beads and hydrogel droplets with a diameter of about 160 μm. The optimal incident light angle-fitted dark field system combines high-contrast imaging sensitivity and high spatial resolution to even image cells on 3D surfaces.

Original languageEnglish
Article numbere202200091
JournalJournal of Biophotonics
Volume15
Issue number10
DOIs
StatePublished - 2022.10

Keywords

  • 3D projection
  • dark field filter
  • dark field microscope
  • light incident angle
  • real-time cell monitoring

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Chemistry
  • Physics & Astronomy
  • Biological Sciences

Fingerprint

Dive into the research topics of 'Miniaturized optimal incident light angle-fitted dark field system for contrast-enhanced real-time monitoring of 2D/3D-projected cell motions'. Together they form a unique fingerprint.

Cite this