Quantitative extraction of morphologic cell parameters from the diffraction pattern.

Seger, G.; Achatz, M.; Heinze, W.; Sinsel, F

doi:10.1177/25.7.330724

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Cited by 8 publications

(2 citation statements)

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“…WASC has been profoundly investigated (14,24,25). Yet, extraction of information regarding size, shape and refractive index of cells by analysis of their scattering pattern is rarely reported, probably due to the difficulties in the interpretation of the data and the need to perform a cell-by-cell scanning of the supporting glass slide.…”

mentioning

confidence: 97%

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Analysis of Laser Scattering Pattern as an Early Measure of Apoptosis

Shiffer

Zurgil

Shafran

et al. 2001

Biochemical and Biophysical Research Communications

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mentioning

confidence: 97%

“…Thus, in a way, FSC signals, collected at small angles (0.5-2.0°) from an incident laser beam, reflects the scattering particle volume (13,14). Since its first demonstration by Mul-laney et al, this effect has been widely used both in FC and static cytometry (13,15,16) for the estimation of cell size, intracellular and membrane dye density.…”

mentioning

confidence: 98%

Analysis of Laser Scattering Pattern as an Early Measure of Apoptosis

Shiffer

Zurgil

Shafran

et al. 2001

Biochemical and Biophysical Research Communications

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Label‐Free Cell Classification with Diffraction Imaging Flow Cytometer

Hu¹,

Lu²

2011

Advanced Optical Flow Cytometry

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Extraction of morphological features from biological models and cells by fourier analysis of static light scatter measurements

1982

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Models of biological cells of varying geometric complexity were used to generate data to test a method of extracting geometric features from light scatter distributions. Measurements of the dynamic range and angular distribution of intensity and light scatter from these models was compared to the distributions predicted by a complete theory of light scatter (Mie) and by diffraction theory (Fraunhofer). An approximation to the Fraunhofer theory provides a means of obtaining size and shape features from the data by a spectrum analysis. Experimental verification using nucleated erythrocytes as the biological material show the potential application of this method for the extraction of important size and shape parameters from light scatter data.

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Quantitative extraction of morphologic cell parameters from the diffraction pattern.

Abstract: A new technique for the fast and quantitative extraction of cell parameters from diffraction patterns was applied to cervical gynecologic material.

Cited by 8 publications

References 8 publications

Analysis of Laser Scattering Pattern as an Early Measure of Apoptosis

Analysis of Laser Scattering Pattern as an Early Measure of Apoptosis

Label‐Free Cell Classification with Diffraction Imaging Flow Cytometer

Extraction of morphological features from biological models and cells by fourier analysis of static light scatter measurements

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