A5079806398- Cell Image Analysis Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Malaria Research and Control
- AI in cancer detection
- Image Processing Techniques and Applications
- Insect symbiosis and bacterial influences
- CRISPR and Genetic Engineering
- Mosquito-borne diseases and control
- Advanced Fluorescence Microscopy Techniques
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
École Polytechnique Fédérale de Lausanne
2020-2024
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...
Abstract Parasitic diseases, particularly malaria (caused by Plasmodium falciparum ) and theileriosis Theileria spp .), profoundly impact global health the socioeconomic well-being of lower-income countries. Despite recent advances, identifying host metabolic proteins essential for these auxotrophic pathogens remains challenging. Here, we generate a novel model human hepatocytes infected with P. integrate it genome-wide CRISPR knockout screen targeting -infected cells to pinpoint shared...
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...
SUMMARY Apicomplexan parasite diseases, including malaria ( Plasmodium ) and theileriosis Theileria ), pose a significant threat to global health the socioeconomic well-being of low-income countries. Despite recent advances, common host metabolic proteins essential for these highly auxotrophic pathogens remain elusive. Here, we present comprehensive investigation integrating model P. falciparum parasites in hepatocytes genome-wide CRISPR screen targeting schizont-infected macrophages. We...