Fractal analysis of yeast cell optical speckle

A. Flamholz; P. S. Schneider; R. Subramaniam; P. K. Wong; D. H. Lieberman; T. D. Cheung; J. Burgos; K. Leon; J. Romero

doi:10.1117/12.646399

1 March 2006 Fractal analysis of yeast cell optical speckle

A. Flamholz, P. S. Schneider, R. Subramaniam, P. K. Wong, D. H. Lieberman, T. D. Cheung, J. Burgos, K. Leon, J. Romero

Proceedings Volume 6084, Optical Interactions with Tissue and Cells XVII; 60840R (2006) https://doi.org/10.1117/12.646399
Event: SPIE BiOS, 2006, San Jose, California, United States

Abstract

Steady state laser light propagation in diffuse media such as biological cells generally provide bulk parameter information, such as the mean free path and absorption, via the transmission profile. The accompanying optical speckle can be analyzed as a random spatial data series and its fractal dimension can be used to further classify biological media that show similar mean free path and absorption properties, such as those obtained from a single population. A population of yeast cells can be separated into different portions by centrifuge, and microscope analysis can be used to provide the population statistics. Fractal analysis of the speckle suggests that lower fractal dimension is associated with higher cell packing density. The spatial intensity correlation revealed that the higher cell packing gives rise to higher refractive index. A calibration sample system that behaves similar as the yeast samples in fractal dimension, spatial intensity correlation and diffusion was selected. Porous silicate slabs with different refractive index values controlled by water content were used for system calibration. The porous glass as well as the yeast random spatial data series fractal dimension was found to depend on the imaging resolution. The fractal method was also applied to fission yeast single cell fluorescent data as well as aging yeast optical data; and consistency was demonstrated. It is concluded that fractal analysis can be a high sensitivity tool for relative comparison of cell structure but that additional diffusion measurements are necessary for determining the optimal image resolution. Practical application to dental plaque bio-film and cam-pill endoscope images was also demonstrated.

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A. Flamholz, P. S. Schneider, R. Subramaniam, P. K. Wong, D. H. Lieberman, T. D. Cheung, J. Burgos, K. Leon, and J. Romero "Fractal analysis of yeast cell optical speckle", Proc. SPIE 6084, Optical Interactions with Tissue and Cells XVII, 60840R (1 March 2006); https://doi.org/10.1117/12.646399

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KEYWORDS

Fractal analysis

Yeast

Speckle

Diffusion

Refractive index

Image resolution

Calibration

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