Epi-illumination gradient light interference microscopy for imaging opaque structures

Mikhail E. Kandel, Chenfei Hu, Ghazal Naseri Kouzehgarani, Eunjung Min, Kathryn Michele Sullivan, Hyunjoon Kong, Jennifer M. Li, Drew N. Robson, Martha U. Gillette, Catherine Best-Popescu and Gabriel Popescu ()
Additional contact information
Mikhail E. Kandel: University of Illinois at Urbana-Champaign
Chenfei Hu: University of Illinois at Urbana-Champaign
Ghazal Naseri Kouzehgarani: University of Illinois at Urbana-Champaign
Eunjung Min: Rowland Institute at Harvard University, Cambridge
Kathryn Michele Sullivan: University of Illinois at Urbana-Champaign
Hyunjoon Kong: University of Illinois at Urbana-Champaign
Jennifer M. Li: Rowland Institute at Harvard University, Cambridge
Drew N. Robson: Rowland Institute at Harvard University, Cambridge
Martha U. Gillette: University of Illinois at Urbana-Champaign
Catherine Best-Popescu: University of Illinois at Urbana-Champaign
Gabriel Popescu: University of Illinois at Urbana-Champaign

Nature Communications, 2019, vol. 10, issue 1, 1-9

Abstract: Abstract Multiple scattering and absorption limit the depth at which biological tissues can be imaged with light. In thick unlabeled specimens, multiple scattering randomizes the phase of the field and absorption attenuates light that travels long optical paths. These obstacles limit the performance of transmission imaging. To mitigate these challenges, we developed an epi-illumination gradient light interference microscope (epi-GLIM) as a label-free phase imaging modality applicable to bulk or opaque samples. Epi-GLIM enables studying turbid structures that are hundreds of microns thick and otherwise opaque to transmitted light. We demonstrate this approach with a variety of man-made and biological samples that are incompatible with imaging in a transmission geometry: semiconductors wafers, specimens on opaque and birefringent substrates, cells in microplates, and bulk tissues. We demonstrate that the epi-GLIM data can be used to solve the inverse scattering problem and reconstruct the tomography of single cells and model organisms.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.nature.com/articles/s41467-019-12634-3 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12634-3

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-019-12634-3

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().