Title | ||
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Digital Holographic Microscopy For Cell Visualization And Automated Disease Identification |
Abstract | ||
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Digital holographic microscopy which has established itself as one of the leading techniques for quantitative phase contrast imaging. It has many advantages over conventional microscopy such as, improvement in image contrast and providing thickness profile of the object along the propagation direction of the probe beam. Other advantages are that numerical focusing and lensless imaging are possible with digital holography. Also from a series of holograms the time varying thickness profile of the object can be determined and used to evaluate the object. Here, we present an overview of our published work on three dimensional microscopy with digital holography for visualization and identification of manmade and biological specimen for their evaluation and identification. |
Year | Venue | Keywords |
---|---|---|
2015 | PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | digital holography, microscopy, three dimensional imaging, phase contrast imaging, object morphology |
Field | DocType | ISSN |
Iterative reconstruction,Computer vision,Holography,Biological specimen,Visualization,Digital holography,Phase-contrast imaging,Artificial intelligence,Engineering,Microscopy,Digital holographic microscopy | Conference | 1935-4576 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arun Anand | 1 | 0 | 0.68 |
Bahram Javidi | 2 | 110 | 20.30 |