scholarly journals Automatic Computation of Biophysical Cell Parameters in Digital Holographic Microscopy Images

Author(s):  
Lilith Brandt ◽  
Klaus Brinker ◽  
Björn Kemper
2020 ◽  
Vol 12 (1) ◽  
pp. 13
Author(s):  
Patryk Nienałtowski ◽  
Maria Baczewska ◽  
Małgorzata Kujawińska

The statistical analysis and comparison of biophysical parameters of living and fixed, mouse embryonic fibroblasts cells are presented. The parameters are calculated based on phase measurements performed by means of a digital, holographic microscope. The phases are retrieved from off-axis, image plane holograms, followed by custom image segmentation and statistical analysis of cells’ surface, phase volume and dry mass. The results indicated statistically significant differences between fixed and living cell parameters, which is an important message for setting methodology for further diagnosis based on quantitative phase (label-free) analysis.Full Text: PDF References:K. Alm, et al. "Cells and Holograms – Holograms and Digital Holographic Microscopy as a Tool to Study the Morphology of Living Cells", InTech, 2013. [CrossRef]Y. Rivenson, Y. Wu, A. Ozcan, Light: "Deep learning in holography and coherent imaging", Science & Applications, 8, Art. No. 85 (2019) [CrossRef]Min, et al. Optics Letters, 42, Issue 2, pp. 227-230, (2017) [CrossRef]M. Baczewska, Measurements and analysis of cells and histological skin sections based on digital holographic microscopy, WUT master thesis, 2018. [CrossRef]P. Stępień, D. Korbuszewski, M. Kujawińska, "Digital Holographic Microscopy with extended field of view using tool for generic image stitching", ETRI Journal, 41(1), 73-83, (2019). [CrossRef]S. Beucher, Serge, The Watershed Transformation Applied To Image Segmentation, Scanning microscopy. Supplement 6, (2000) [DirectLink]J. A. Hartigan, M. A. Wong, "A K-Means Clustering Algorithm", Applied Statistics, (1979) [CrossRef]J. Serra, Image Analysis and Mathematical Morphology, Academic Press, (1982) [DirectLink]P. Girshovitz, N. T. Shaked, "Generalized cell morphological parameters based on interferometric phase microscopy and their application to cell life cycle characterization", Biomedical Optics Express Vol. 3, Issue 8, pp. 1757-1773, (2012) [CrossRef]


2021 ◽  
Vol 84 ◽  
pp. 200-207
Author(s):  
Jiansen Pan ◽  
Qingmei Peng ◽  
Guoliang Zhang ◽  
Qingyi Xie ◽  
Xiangjun Gong ◽  
...  

Photonics ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 276
Author(s):  
Yun Liu ◽  
Peihua Bu ◽  
Mingxing Jiao ◽  
Junhong Xing ◽  
Ke Kou ◽  
...  

The coherent noise always exists in digital holographic microscopy due to the laser source, degrading the image quality. A method of speckle suppression using the dynamic speckle illumination, produced by double-moving diffusers, is presented in digital holographic microscopy. The space–time correlation functions are theoretically analyzed from the statistics distribution in the doubly and singly scattered system, respectively. The configuration of double-moving diffusers is demonstrated to have better performance in speckle suppression compared with the single diffuser and moving-static double diffusers cases. The experiment results verify the feasibility of the approach. The presented approach only requires a single shot interferogram to realize the speckle reduction, accordingly it has the potential application in real-time measurement.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Majid Panahi ◽  
Ramin Jamali ◽  
Vahideh Farzam Rad ◽  
Mojtaba Khorasani ◽  
Ahamd Darudi ◽  
...  

AbstractIn several phenomena in biology and industry, it is required to understand the comprehensive behavior of sedimenting micro-particles in fluids. Here, we use the numerical refocusing feature of digital holographic microscopy (DHM) to investigate the slippage effect on micro-particle sedimentation near a flat wall. DHM provides quantitative phase contrast and three-dimensional (3D) imaging in arbitrary time scales, which suggests it as an elegant approach to investigate various phenomena, including dynamic behavior of colloids. 3D information is obtained by post-processing of the recorded digital holograms. Through analysis of 3D trajectories and velocities of multiple sedimenting micro-particles, we show that proximity to flat walls of higher slip lengths causes faster sedimentation. The effect depends on the ratio of the particle size to (1) the slip length and (2) its distance to the wall. We corroborate our experimental findings by a theoretical model which considers both the proximity and the particle interaction to a wall of different hydrophobicity in the hydrodynamic forces.


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