Cited 17 time in webofscience Cited 19 time in scopus

Automated Disease Identification With 3-D Optical Imaging: A Medical Diagnostic Tool

Title
Automated Disease Identification With 3-D Optical Imaging: A Medical Diagnostic Tool
Authors
Anand, ArunMoon, InkyuJavidi, Bahram
DGIST Authors
Moon, Inkyu
Issue Date
2017-05
Citation
Proceedings of the IEEE, 105(5), 924-946
Type
Article
Article Type
Article
Keywords
DIGITAL HOLOGRAPHIC MICROSCOPYRED-BLOOD-CELLSINTERFEROMETRIC PHASE MICROSCOPYMEAN CORPUSCULAR HEMOGLOBINQUANTITATIVE PHASE3-DIMENSIONAL IDENTIFICATIONNUMERICAL RECONSTRUCTIONSTEM-CELLSCONTRASTDYNAMICS
ISSN
0018-9219
Abstract
Digital holographic microscopy is an ideal tool for 3-D cell imaging and characterization. It provides a host of cell parameters based on cell morphology and its temporal dynamics or time variation. These parameters can be used to study and quantify cell growth and cell physiology. When coupled with classification algorithms, this technique can also be used to identify and classify cells such as blood cells for automated disease identification. A compact, portable version of this 3-D optical imaging system has the potential to become a device for compact field portable biological data collection, analysis, and cell identification leading to disease diagnosis with mobile devices, low cost instruments for deployment in remote areas with limited access to healthcare to combat disease. In this paper, we present an overview of our reported work on the development of digital holographic microscopes and their applications in 3-D cell imaging, cell parameter extraction and cell classification for potential automated disease identification. © 2017 IEEE.
URI
http://hdl.handle.net/20.500.11750/6532
DOI
10.1109/JPROC.2016.2636238
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Moon, Inkyu Intelligent Imaging and Vision Systems Laboratory
  • Research Interests
Files:
There are no files associated with this item.
Collection:
Department of Robotics EngineeringIntelligent Imaging and Vision Systems Laboratory1. Journal Articles


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