Skip to main navigation Skip to search Skip to main content

Restoring the invisible details in differential interference contrast microscopy images

  • Missouri University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Automated image restoration in microscopy, especially in Differential Interference Contrast (DIC) imaging modality, has attracted increasing attention since it greatly facilitates living cell analysis. Previous work is able to restore the nuclei of living cells, but it is very challenging to reconstruct the unnoticeable cytoplasm details in DIC images. In this paper, we propose to extract the tiny movement information of living cells in DIC images and reveal the hidden details in DIC images by magnifying the cell’s motion as well as attenuating the intensity variation from the background. From our restored images, we can clearly observe the previously-invisible details in DIC images. Experiments on two DIC image datasets demonstrate that the motion-based restoration method can reveal the hidden details of living cells, providing promising results on facilitating cell shape and behavior analysis.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings
EditorsAlejandro F. Frangi, Nassir Navab, Joachim Hornegger, William M. Wells
PublisherSpringer Verlag
Pages340-348
Number of pages9
ISBN (Print)9783319245737
DOIs
StatePublished - 2015
Event18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015 - Munich, Germany
Duration: Oct 5 2015Oct 9 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9351
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015
Country/TerritoryGermany
CityMunich
Period10/5/1510/9/15

Fingerprint

Dive into the research topics of 'Restoring the invisible details in differential interference contrast microscopy images'. Together they form a unique fingerprint.

Cite this