Using Scattering to Identify Bacterial Pathogens

Robinson, J. Paul; Rajwa, Bartek; Bae, Euiwon; Patsekin, Valery; Roumani, Ali M.; Bhunia, Arun K.; Dietz, J. Eric; Davisson, V. Jo; Dündar, Murat; Thomas, Jolly; Hirleman, E. Dan

doi:10.1364/opn.22.10.000020

Cited by 7 publications

(4 citation statements)

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“…The principles of Elastic Light Scattering (ELS), which use the characteristics of the spatial distribution of the scattered light with the same wavelength of the illuminating light source, were earlier used to find bioaerosols among complex, diverse atmospheric aerosols with high sensitivity due to its increased signal strength, and the sizeable scattering cross-section, via single-particle or multiple-particle interrogation [32][33][34][35][36], without using specific labelling reagents [32].…”

Section: Optical Technologiesmentioning

confidence: 99%

Photonic system for real-time detection, discrimination, and quantification of microbes in air

Tatavarti¹,

Nadimpalli

Mangina³

et al. 2023

Front. Phys.

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We report the results of the non-invasive photonic system AUM for remote detection and characterization of different pathogenic bacterial strains and mixtures. AUM applies the concepts of elastic light scattering, statistical mechanics, artificial intelligence, and machine learning to identify, classify and quantify various microbes in the scattering volume in real-time and, therefore, can become a potential tool in controlling and managing diseases caused by pathogenic microbes.

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Section: Optical Technologiesmentioning

confidence: 99%

Photonic system for real-time detection, discrimination, and quantification of microbes in air

Tatavarti¹,

Nadimpalli

Mangina³

et al. 2023

Front. Phys.

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“…Earlier studies have reported that ELS can be used to find bioaerosols among complex, diverse atmospheric aerosols with high sensitivity, due to its high signal strength, and the large scattering cross-section, via single-particle or multiple particle interrogation [32][33][34][35][36] , without using specific labelling reagents 32 . As ELS changes the spatial distribution and/or propagation direction of the illuminating light, it was suggested that the information regarding scattering can be monitored and analysed in real-time analysis for detection and characterization of aerosol particles (encompassing the range of sizes from 100nm to 10mm, and concentrations from parts per trillion to parts per million) 31,[37][38][39][40] , in both point and remote-sensing systems 31,39 .…”

Section: Aum Photonic System For Microbe Detection and Characterizationmentioning

confidence: 99%

Photonic System for Real Time Detection, Discrimination, and Quantification of Microbes in Air

Tatavarti¹,

Nadimpalli²,

Mangina³

et al. 2022

Preprint

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This article reports the successful results from the recently developed non-invasive photonic system AUM - for real time, discrimination and quantification of different pathogenic bacterial strains, and mixtures of bacterial species in air. The uniqueness and novelty of the AUM photonic system, lies in its ability to innovatively apply the concepts of elastic light scattering, statistical mechanics, artificial intelligence, and machine learning to identify, classify and quantify various microbes present in the scattering volume in real time; and therefore, can become a potential tool in the control and management of diseases caused by pathogenic microbes.

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“…3−7 The ultimate costs of commercial devices for these applications are driven, at least partly, by the spectral resolution that is required. Moreover, the cost of tunable optical spectral filtering systems generally scales with the desired wavelength range and wavelength resolution.…”

Section: Introductionmentioning

confidence: 99%

“…Multispectral and hyperspectral analyzers/imagers are widely used in remote sensing for applications ranging from environmental, agricultural and climate monitoring , to microscopy and bioimaging. − The ultimate costs of commercial devices for these applications are driven, at least partly, by the spectral resolution that is required. Moreover, the cost of tunable optical spectral filtering systems generally scales with the desired wavelength range and wavelength resolution.…”

Section: Introductionmentioning

confidence: 99%

Holographic Photopolymer Linear Variable Filter with Enhanced Blue Reflection

Moein

Zeng

et al. 2014

ACS Appl. Mater. Interfaces

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A single beam one-step holographic interferometry method was developed to fabricate porous polymer structures with controllable pore size and location to produce compact graded photonic bandgap structures for linear variable optical filters. This technology is based on holographic polymer dispersed liquid crystal materials. By introducing a forced internal reflection, the optical reflection throughout the visible spectral region, from blue to red, is high and uniform. In addition, the control of the bandwidth of the reflection resonance, related to the light intensity and spatial porosity distributions, was investigated to optimize the optical performance. The development of portable and inexpensive personal health-care and environmental multispectral sensing/imaging devices will be possible using these filters.

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Using Scattering to Identify Bacterial Pathogens

Cited by 7 publications

References 0 publications

Photonic system for real-time detection, discrimination, and quantification of microbes in air

Photonic system for real-time detection, discrimination, and quantification of microbes in air

Photonic System for Real Time Detection, Discrimination, and Quantification of Microbes in Air

Holographic Photopolymer Linear Variable Filter with Enhanced Blue Reflection

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