Huang D, Swanson E A, Lin C P, Schuman J S, Stinson W G, Chang W, Hee M R, Flotte T, Gregory K, Puliafito C A 1991 Science 254 1178 Google Scholar Subramaniam V, Kirsch A, Jovin T 1998 Cell. 6 697 Google ScholarĪmos W, White J 2003 Biol. Zhang J, Sun J, Chen Q, Zuo C 2020 IEEE Trans. Zhang J, Chen Q, Sun J, Zuo C 2019 Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), Phuket, Thailand, Octop112050 C 39 215Ĭao R, Xiao W, Wu X, Sun L, Pan F 2018 Biomed. 366 81 Google Scholarĭong K P, Qian X F, Zhang L, Zhang Y A 2007 Acta Phot. Wang Y, Guo S, Wang D, Lin Q, Rong L, Zhao J 2016 Opt. Lin Q, Wang D, Wang Y, Rong L, Chang S 2015 Opt. Zheng J, Pedrini G, Gao P, Yao B, Osten W 2015 J. Wang H Y, Liu F F, Liao W, Song X F, Yu M J, Liu Z Q 2013 Acta Phys. Wang H Y, Liu F F, Cheng H, Liao W, Zhao B Q, Yu M J, Liu Z Q 2013 High Pow Las Part Beam 25 345 Google Scholar Ma J, Yuan C, Situ G, Pedrini G, Osten W 2013 Chin. Potcoava M, Kim M 2008 Meas Sci Technol 19 074010 Google Scholar Express 15 14591 Google ScholarĬharrière F, Marian A, Montfort F, Kuehn J, Colomb T, Cuche E, Marquet P, Depeursinge C 2006 Opt. 28 1257 Google Scholarįerraro P, Miccio L, Grilli S, Paturzo M, De Nicola S, Finizio A, Osellame R, Laporta P 2007 Opt. 38 6994 Google Scholarįerraro P, Coppola G, De Nicola S, Finizio A, Pierattini G 2003 Opt. With its unique non-contact and non-destructive characteristics, the DHM realizes real-time and quantitative detection that is difficult to achieve with traditional three-dimensional microscopic imaging technologies.Ĭuche E, Marquet P, Depeursinge C 1999 Appl. These techniques can even achieve the dynamic tracking and measure three-dimensional volume of RBCs in real-time which is helpful for pathological studies such as diabetes, cardiovascular disease and Parkinson's disease. These techniques use algorithms including Rayleigh-Sommerfeld back-propagation, the sharpness quantification, the watershed segmentation, the numerical refocusing and the thermal fluctuation to determine the focal plane position and obtain the best reconstruction distance of the RBCs, and further detect the shape change of the RBCs and extract the information of high-resolution blood vessel shape and blood flow velocity. The systems of the in-line DHM, the off-axis DHM and the optical tweezers combining with off-axis DHM are introduced. The DHM system for RBC measurements mainly adopts the convolution algorithm or the angular spectrum algorithm to implement numerical reconstruction. When the reconstruction distance is different from the optimal distance, the resolution of the reconstructed image will decrease, and the angular spectrum method is better than the convolution method in overall performance. Both the convolution method and the angular spectrum method have an optimal reconstruction distance. The Fresnel method is suitable for the sample size larger than the image sensor. This paper introduces the principle of recording and reconstruction of digital holography, and then analyzes the performance of three reconstruction algorithms using the Fresnel method, the convolution method and the angular spectrum method. Compared with the technologies which are widely used in the field of cell imaging such as con-focal laser scanning microscopy, scanning near-field optical microscopy and optical coherence tomography, the DHM has the advantages including wide FOV and high-resolution to achieve higher imaging and quality. With the developments of the image sensor and the computing technology, it has made significant progress in the field of living cells detection, especially for red blood cell. The DHM is a three-dimensional imaging technology which is effective, non-contact and non-destructive. Digital holographic microscopy (DHM) can obtain biological parameters and morphological information of cells by reconstructing holograms, which is different from traditional optical microscopy.
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