Automated analysis of 3D morphology of human red blood cells via off-axis digital holographic microscopy

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

1 Scopus citations

Abstract

In this paper we overview an automated method for the analysis of clinical parameters of human red blood cells (RBCs). The digital holograms of mature RBCs are recorded by CCD camera with off-axis interferometry setup and the quantitative phase images of RBCs are formed by a numerical reconstruction technique. For automated investigation of the 3D morphology and mean corpuscular hemoglobin of RBCs, the unnecessary background in the RBCs phase images are removed by marker-controlled watershed segmentation algorithm. Then, characteristic properties of each RBC such as projected cell surface, average phase, mean corpuscular hemoglobin (MCH) and (MCH) surface density is quantitatively measured. Finally, the equality of covariance matrixes and mean vectors of these features for different kinds of RBCs are experimentally analyzed using statistical test scheme. Results show that these characteristic parameters of RBCs can be used as feature pattern to discriminate between RBC populations that differ in shape and hemoglobin content.

Original languageEnglish
Title of host publicationThree-Dimensional Imaging, Visualization, and Display 2013
DOIs
StatePublished - 2013
EventThree-Dimensional Imaging, Visualization, and Display 2013 - Baltimore, MD, United States
Duration: 29 Apr 201330 Apr 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8738
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceThree-Dimensional Imaging, Visualization, and Display 2013
Country/TerritoryUnited States
CityBaltimore, MD
Period29/04/1330/04/13

Keywords

  • Cell analysis
  • Digital holography
  • Mean corpuscular hemoglobin
  • Medical and biological imaging
  • Statistical analysis
  • Three-dimensional image processing

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