Real‐time mid‐infrared imaging of living microorganisms

Haase, Katharina; Kröger-Lui, Niels; Pucci, Annemarie; Schönhals, Arthur; Petrich, Wolfgang

doi:10.1002/jbio.201500264

Cited by 37 publications

(22 citation statements)

References 20 publications

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“…Thus, Raman microspectroscopy subsequently opened up the possibility of a cultivation‐independent analysis of single microbial cells. Consequently, many studies in recent times have established the utility of infrared and Raman microspectroscopy for a fast and reliable detection and identification of microorganisms with clinical, industrial or environmental relevance .…”

Section: Introductionmentioning

confidence: 99%

Raman spectroscopic identification of Mycobacterium tuberculosis

Stöckel

Meisel

Lorenz

et al. 2016

Journal of Biophotonics

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In this study, Raman microspectroscopy has been utilized to identify mycobacteria to the species level. Because of the slow growth of mycobacteria, the per se cultivation-independent Raman microspectroscopy emerges as a perfect tool for a rapid on-the-spot mycobacterial diagnostic test. Special focus was laid upon the identification of Mycobacterium tuberculosis complex (MTC) strains, as the main causative agent of pulmonary tuberculosis worldwide, and the differentiation between pathogenic and commensal nontuberculous mycobacteria (NTM). Overall the proposed model considers 26 different mycobacteria species as well as antibiotic susceptible and resistant strains. More than 8800 Raman spectra of single bacterial cells constituted a spectral library, which was the foundation for a two-level classification system including three support vector machines. Our model allowed the discrimination of MTC samples in an independent validation dataset with an accuracy of 94% and could serve as a basis to further improve Raman microscopy as a first-line diagnostic point-of-care tool for the confirmation of tuberculosis disease.

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Section: Introductionmentioning

confidence: 99%

Raman spectroscopic identification of Mycobacterium tuberculosis

Stöckel

Meisel

Lorenz

et al. 2016

Journal of Biophotonics

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“…They note the speed of image acquisition is 100 times higher than that of the fastest FTIR imaging systems, and cite several examples of systems that benefit from this speed (e.g. spectroscopic imaging of living microorganisms [ 41 ]).…”

Section: Imaging With Quantum Cascade Lasersmentioning

confidence: 99%

Spectroscopic imaging of biomaterials and biological systems with FTIR microscopy or with quantum cascade lasers

Kimber

Kazarian

2017

Anal Bioanal Chem

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Spectroscopic imaging of biomaterials and biological systems has received increased interest within the last decade because of its potential to aid in the detection of disease using biomaterials/biopsy samples and to probe the states of live cells in a label-free manner. The factors behind this increased attention include the availability of improved infrared microscopes and systems that do not require the use of a synchrotron as a light source, as well as the decreasing costs of these systems. This article highlights the current technical challenges and future directions of mid-infrared spectroscopic imaging within this field. Specifically, these are improvements in spatial resolution and spectral quality through the use of novel added lenses and computational algorithms, as well as quantum cascade laser imaging systems, which offer advantages over traditional Fourier transform infrared systems with respect to the speed of acquisition and field of view. Overcoming these challenges will push forward spectroscopic imaging as a viable tool for disease diagnostics and medical research. Graphical abstractAbsorbance images of a biopsy obtained using an FTIR imaging microscope with and without an added lens, and also using a QCL microscope with high-NA objective.

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“…Similar scenes repeatedly appear in successive frames in a UAV video because of a high number of frame per seconds (fps) (at least 24 fps) [10,11]. Thus, key frame selection is required to reduce computational time for stitching images among nearly same visual information.…”

Section: System Description 21 Frame Selectionmentioning

confidence: 99%

Vision-Based 2D Map Generation for Monitoring Construction Sites Using UAV videos

Bang¹,

Kim²,

Kim³

2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-This paper presents a system to generate a 2D map using unmanned aerial vehicles (UAV) videos. The system can process the collected images for lens distortion, unstable flight, and image redundancy. The system is demonstrated using an UAV video captured on road construction site in Namyangju city, Korea. The experimental result is a high-resolution 2D map of which resolution is 6010 by 9465. This study is expected to help site managers understand site conditions and make a decision timely in diverse construction sites.

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Real‐time mid‐infrared imaging of living microorganisms

Cited by 37 publications

References 20 publications

Raman spectroscopic identification of Mycobacterium tuberculosis

Raman spectroscopic identification of Mycobacterium tuberculosis

Spectroscopic imaging of biomaterials and biological systems with FTIR microscopy or with quantum cascade lasers

Vision-Based 2D Map Generation for Monitoring Construction Sites Using UAV videos

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