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Christoph Haisch

Researcher at Technische Universität München

Publications -  115
Citations -  4515

Christoph Haisch is an academic researcher from Technische Universität München. The author has contributed to research in topics: Photoacoustic spectroscopy & Laser. The author has an hindex of 36, co-authored 111 publications receiving 3675 citations. Previous affiliations of Christoph Haisch include Ludwig Maximilian University of Munich.

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SERS Detection of Bacteria in Water by in Situ Coating with Ag Nanoparticles

TL;DR: In this article, surface-enhanced Raman scattering (SERS) was used for the detection of living bacteria in drinking water by employing a synthesis of silver nanoparticles coating the cell wall of bacteria.
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Acoustical properties of selected tissue phantom materials for ultrasound imaging.

TL;DR: The characterization of the acoustic properties of four materials intended for the development of tissue, and especially breast tissue, phantoms for the use in photoacoustic and ultrasound imaging are summarized.
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Combined use of confocal laser scanning microscopy (CLSM) and Raman microscopy (RM): Investigations on EPS – Matrix

TL;DR: Confocal laser scanning microscopy was applied in combination with Raman microscopy for the characterization of heterotrophic biofilms and polysaccharide-related Raman bands are in good agreement with the lectin binding analysis from CLSM.
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Label-Free in Situ Discrimination of Live and Dead Bacteria by Surface-Enhanced Raman Scattering

TL;DR: The Bacteria@AgNPs method is used to detect antibiotic resistance of E. coli strains against several antibiotics used in human medicine and successful quantification of different percentages of dead bacteria both in bulk liquid and on glass surfaces by using SERS mapping on a single cell basis.
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Photoacoustic spectroscopy for analytical measurements

TL;DR: In this paper, the authors summarize basic principles and possible applications described in the literature, in order to foster routine application of these techniques in industry, process analysis and environmental screening, focusing on techniques with applications for analytical measurements.