Journal
IEEE PHOTONICS JOURNAL
Volume 4, Issue 5, Pages 1456-1464Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPHOT.2012.2210199
Keywords
Quantitative microscopy; digital holographic microscopy; coherent imaging; disease identification; correlation
Funding
- University Grants commission, Government of India
- Department of Science and Technology, Government of India
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Diagnosis of malaria is important for its medication and treatment. An automatic compact diagnostic tool will be advantageous especially for healthcare personnel working in developing countries, which lack trained professionals and high-quality equipments. Digital holographic microscopy is one of the advanced techniques for quantitative evaluation of cells, providing cell thickness information directly. This information obtained by interferometric comparison can be used to identify as well as to compare cells. Here, we describe the use of digital holographic interferometric microscopy (DHIM) with numerical focusing for automatic identification of malaria-infected red blood cells (RBCs). Identification is done by comparing its shape profile with that of a healthy RBC. A correlation function was used to separate healthy and malaria-infected RBCs.
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