Alexis Boucharin's research while affiliated with Uppsala University and other places

... Coupled with an optical image sensor, microfluidic devices are able to detect MIC within a few hours due to real-time analysis and by minimizing the culture dependency. Optical sensor-based nanofluidic (30 nL) analysing single bacterial cell has claimed performing AST within 30 min (Baltekin et al., 2016). Further, it can eliminate all the tedious steps like loading of cells by continuous sample injection and countingbased cell identification by virtue of imaging of a single bacterium (Lu et al., 2017). ...

... This can cause the precious window to prevent patient mortality to be missed by ineffective treatments due to AMR. Traditional phenotypic methods such as dilution methods, agar disk diffusion testing, and gradient diffusion methods, typically take 1-2 days to generate reliable results [9,10]. Genotypic ASTs, on the other hand, directly detect biomarkers associated with resistance using molecular detection tools such as qPCR, whole-genome sequencing, and MALDI-TOF. ...

... Timelapse imaging has already been used in different fields of coal mining [13] to understand the location and depth of exploring old gallery mines. [103] experiments prokaryotic cell track analysis based on segmentation. This particular type of imaging is essential for a fast-track video that can present episodal changes in the object visible to the human. . ...

... We also derive a spatialautocorrelation function that interconnects phase derivatives with intracellular fractal profiles, and we demonstrate the direct measurements and reconstruction of optical properties from fluorescent cell imaging. Our work facilitates further extensions to bioimage simulation modules [5][6][7][8][9][10][11][12][13][14], incorporating, in particular, light scattering and fluctuations caused by nonuniform spatial distributions of intracellular optical properties. Such modification of the simulation is of particular relevance to the numerical evaluation and verification of observational invariance (or symmetry) as postulated in data science, likely leading to more realistic simulations of biological imaging. ...