A5084903184- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Advanced Biosensing Techniques and Applications
- Genetics, Bioinformatics, and Biomedical Research
- Photoreceptor and optogenetics research
- Optical Imaging and Spectroscopy Techniques
- Molecular Sensors and Ion Detection
- Receptor Mechanisms and Signaling
- Image Processing Techniques and Applications
- AI in cancer detection
- Gene expression and cancer classification
École Polytechnique Fédérale de Lausanne
2020-2023
King's College London
2019
Methods for the analysis of cell secretions at single-cell level only provide semiquantitative endpoint readouts. Here we describe a microwell array real-time spatiotemporal monitoring extracellular from hundreds single cells in parallel. The incorporates gold substrate with arrays nanometric holes functionalized receptors specific analyte, and is illuminated light spectrally overlapping device's spectrum extraordinary optical transmission. Spectral shifts surface plasmon resonance resulting...
The identification of cell borders ('segmentation') in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exhibit irregular features. We present convolutional neural network (CNN) named YeaZ, underlying training set high-quality segmented yeast (>10 000 cells) including mutants, stressed cells, and time courses, as well graphical user interface web...
Imaging viscosity and its spatiotemporal patterns can provide valuable insight into the underlying physical conditions of biochemical reactions biological processes in cells tissues. One way to measure diffusion is use fluorescence recovery after photobleaching (FRAP). We combine FRAP with FLIM time-resolved anisotropy imaging (tr-FAIM), by acquiring time- polarization-resolved images every frame a series. This allows us simultaneously monitor translational rotational diffusion. approach be...
Abstract The processing of microscopy images constitutes a bottleneck for large-scale experiments. A critical step is the establishment cell borders (‘segmentation’), which required range applications such as growth or fluorescent reporter measurements. For model organism budding yeast ( Saccharomyces cerevisiae ), number methods segmentation exist. However, in experiments involving multiple cycles, stress, various mutants, cells crowd exhibit irregular visible features, necessitate frequent...
We report the simultaneous combination of three powerful techniques in uorescence microscopy: Fluorescence Lifetime Imaging (FLIM), Anisotropy (FAIM) and Recovery After Photobleaching (FRAP), also called F3 microscopy. An exhaustive calibration setup was carried out with several rhodamine 6G (R6G) solutions water-glycerol from FAIM FRAP data, hydrodynamic radius dye directly calculated. The data analyzed a home-built MATLAB script, is currently explored further Green Fluorescent Protein...