Moritz Späth
University of Erlangen-Nuremberg
20 Papers
7 Citations
Moritz Späth is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 3, co-authored 11 publications.
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Papers
Properties and Applications of Random Lasers as Emerging Light Sources and Optical Sensors: A Review
TL;DR: In this article , the current state of the RL properties and applications was reviewed, and the applicability of RLs as light sources and optical sensors has been proved, with tissues as natural scattering materials.
Random laser as a potential tool for the determination of the scattering coefficient
Martin Hohmann,Moritz Späth,Dongqin Ni,Dominique Dörner,Benjamin Lengenfelder,Florian Klämpfl,Michael Schmidt +6 more
TL;DR: Evidence is found that it is possible to determine µ s in the diffusive regime by means of the random laser - and not μ s ' - and a local model of the RL is developed and presented.
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A quantitative evaluation of the use of medical lasers in German hospitals.
Moritz Späth,Florian Klämpfl,Florian Stelzle,Martin Hohmann,Benjamin Lengenfelder,Michael Schmidt +5 more
TL;DR: The laser has become an integral part of modern medicine, procedures based on this technique have found their way into a multitude of medical disciplines and the importance of the laser for medical purposes can be confirmed.
8
Remote Photoacoustic Sensing Using Single Speckle Analysis by an Ultra-Fast Four Quadrant Photo-Detector.
Benjamin Lengenfelder,Martin Hohmann,Moritz Späth,Daniel Scherbaum,Manuel Weiß,Stefan J. Rupitsch,Michael Schmidt,Zeev Zalevsky,Florian Klämpfl +8 more
TL;DR: In this article, a single speckle, which is created by self-interference of surface back-reflection, is temporally analyzed using a four quadrant photo-detector.
3
Analysis of diffuse reflectance spectroscopy by means of Bayesian inference and separation of the parameters for scattering strength and spectral dependence of the scattering.
TL;DR: In this article, the authors analyzed the instabilities of the scattering characterizations and found a solution for it by means of Bayesian inference, using the example of diffuse reflectance spectroscopy and showed that the currently used fitting functions are unstable for the fitting as both parameters for characterizing the reduced scattering coefficient describe the spectral dependence as well as the scattering strength.
3