A5072526553- Cell Image Analysis Techniques
- Chronic Lymphocytic Leukemia Research
- Advanced Fluorescence Microscopy Techniques
- Characterization and Applications of Magnetic Nanoparticles
- Advanced Electron Microscopy Techniques and Applications
- Image Processing Techniques and Applications
- Machine Learning in Materials Science
- Electron and X-Ray Spectroscopy Techniques
- Single-cell and spatial transcriptomics
- Computational Drug Discovery Methods
- 3D Surveying and Cultural Heritage
- Neonatal Respiratory Health Research
- Genetics, Bioinformatics, and Biomedical Research
- Neonatal and fetal brain pathology
- Gene expression and cancer classification
- Biomedical and Engineering Education
- T-cell and B-cell Immunology
- Advanced X-ray and CT Imaging
- Genetic factors in colorectal cancer
- Cancer Immunotherapy and Biomarkers
- Energy Harvesting in Wireless Networks
Université Paris Cité
2023-2024
Institut Pasteur
2023-2024
Centre National de la Recherche Scientifique
2023-2024
The Francis Crick Institute
2020-2023
Imperial College London
2020
Abstract Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm innovations fuelled by DL technology, need to access compatible resources train networks leads an accessibility barrier that novice users often find difficult overcome. Here, we present ZeroCostDL4Mic, entry-level platform simplifying leveraging free, cloud-based computational of Google Colab. ZeroCostDL4Mic allows researchers...
The resources and expertise needed to use Deep Learning (DL) in bioimaging remain significant barriers for most laboratories. We present https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki , a platform simplifying access DL by exploiting the free, cloud-based computational of Google Colab. allows researchers train, evaluate, apply key networks perform tasks including segmentation, detection, denoising, restoration, resolution enhancement image-to-image translation. demonstrate application...
The 2024 OME-NGFF Workflows Hackathon, held at the BioVisionCenter University of Zurich, brought together an international group researchers and developers to develop ecosystem around open, scalable, FAIR bioimage file format OME-Zarr. Over five days, participants tackled key challenges in four main areas: (1) advancing OME-Zarr specification, (2) enabling workflow interoperability by integrating image processing tasks across multiple open-source frameworks, (3) expanding Java support for...
The 2024 OME-NGFF Workflows Hackathon, held at the BioVisionCenter University of Zurich, brought together an international group researchers and developers to develop ecosystem around open, scalable, FAIR bioimage file format OME-Zarr. Over five days, participants tackled key challenges in four main areas: (1) advancing OME-Zarr specification, (2) enabling workflow interoperability by integrating image processing tasks across multiple open-source frameworks, (3) expanding Java support for...
Antimicrobial resistance is a growing public health threat predicted to cause up 10 million deaths year by 2050. To circumvent existing bacterial mechanisms, discovering antibiotics with novel modes of action (MoAs) crucial. While growth inhibition assays can robustly identify antibiotic molecules, they miss promising compounds subinhibitory phenotypes and do not inform on drug MoA. Microscopy-based cytological profiling drug-treated bacteria hand-crafted image descriptors or more recently...
Familial adenomatous polyposis (FAP) is an inherited disease characterized by the development of large number colorectal adenomas with high risk evolving into tumors. Mutations Adenomatous coli (APC) gene often at origin this disease, as well a percentage spontaneous APC therefore considered tumor suppressor gene. While role in intestinal epithelium homeostasis characterized, its importance immune responses remains ill defined. Our recent work indicates that protein involved various phases...
Correlative light and volume electron microscopy (vCLEM) is a powerful imaging technique that enables the visualisation of fluorescently labelled proteins within their ultrastructural context on subcellular level. Currently, expert microscopists find alignment between acquisitions by manually placing landmarks structures can be recognised in both modalities. The manual nature process severely impacts throughput may introduce bias. This paper presents CLEM-Reg, workflow automates vCLEM...
Fetal movements (FM) are an important factor in the assessment of fetal health. However, there is currently no reliable way to monitor FM outside clinical environs. While extensive research has been carried out using accelerometer-based systems FM, desired accuracy detection yet be achieved. A major challenge difficulty testing and calibrating sensors at pre-clinical stage. Little known about movement features, trials involving pregnant women can expensive ethically stringent. To address...