Laser Applications for Estimation of Microbial Activity and Investigation of NIR Skin Autofluorescence

Alexey Lihachev,Ilze Lihacova,Dmitrijs Bļizņuks,Jānis Liepiņš

doi:10.18287/jbpe21.07.040305

Abstract

The presented paper demonstrates the ongoing results of the joint research of University of Latvia and Riga Technical University aimed at the development of new laser based optical methods and technologies for fast evaluation of microbial activity in solid media. The second part of the paper represents the results of joint research conducted together with Katya Borisova during our visit to the Institute of Electronics, Bulgarian Academy of Sciences (Bulgaria, Sofia).

Highlights

1.1 Laser speckle imaging for microorganisms’ growth analysis in solid mediaEnumeration of live microbial cells in the sample is one of the basic quantitative measurements in microbiology
Literature data points to the significant progress and potential applications of laser speckle imaging technique to evaluate the dynamic processes in microbiological media
Speckle analysis has been applied to biomass growth kinetic measurements in liquid culture, characterization of Colony Forming Units (CFU) morphology, determination of antibiotic susceptibility [2,3,4,5]

Summary

Introduction

1.1 Laser speckle imaging for microorganisms’ growth analysis in solid mediaEnumeration of live microbial cells in the sample is one of the basic quantitative measurements in microbiology. 1.1 Laser speckle imaging for microorganisms’ growth analysis in solid media. One of the options for the fast and early evaluation of microorganisms’ activity is a non-contact optical technique called laser speckle contrast imaging. If scatterers are spontaneously moving (e.g., Brownian motion, bacteria doubling and chemotaxis) such as particles in a fluid, the individual speckle appears to be “twinkle” or “boiling”. This phenomenon is called a “time-varying speckle”. Regarding this phenomenon, the laser speckle imaging technique has been proved to monitor moving particles in optically inhomogeneous media by analyzing timevarying laser speckle patterns. We will prove that dynamic laser speckle

Methods

Results

Conclusion