Wei Ouyang
Latest
- Welcoming Florence Stadelmann to the AICell Lab
- The Landscape of Single-Cell Foundation Models: Design Principles, Applications, and Open Challenges
- AI4Life Open Calls and Public Challenges: why, how, and what we have learned
- Postdoc in AI Modeling for Cell Biology (AlphaCell Program)
- Postdoc in Cell and Molecular Biology Research
- BioEngine: scalable execution and adaptation of bioimage AI through agent-readable interfaces
- Cell shapes decode molecular phenotypes in image-based spatial proteomics
- Generative machine learning unlocks the first proteome-wide image of human cells
- Roadmap on deep learning for microscopy
- Restless Multi-Process Multi-Armed Bandits with Applications to Self-Driving Microscopies
- Image based subcellular mapping of the protein landscape of SARS-CoV-2 infected cells for target-centric drug repurposing
- U-FISH: a fluorescent spot detector for imaging-based spatial-omics analysis
- Octopi 2.0: Open and Scalable Microscopy Platform for AI-powered Diagnostic Applications
- Adapting Video Diffusion Models for Time-Lapse Microscopy
- DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible
- A Warm Welcome to Nils Mechtel, AICell Lab's Second PhD Student
- Welcoming Yanhong Su to the AICell Lab: Spearheading the Self-Driving Microscopy Project
- Macromolecular Condensation Organizes Nucleolar Sub-Phases to Set Up a pH Gradient
- Introducing Gabriel Reder: A Dynamic Postdoc Researcher Joins AICell Lab
- Introducing Linh Duong: Bridging Biology and AI at AICell Lab
- Introducing Weize Xu: A Visiting PhD Student Joins AICell Lab
- Introducing Jeremy Metz: A Multifaceted Research Engineer Joins AICell Lab
- A Landmark Welcome to Songtao Cheng, AICell Lab's First PhD Student
- Doctoral student in AI-powered Whole-cell Modeling
- Hosting Hackathon on Web & Cloud for AI-powered BioImage Analysis
- Postdoc in Cell Biology and Microscopy Imaging
- Postdoc in Robotics and Automated Microscopy Imaging
- Method, device, and computer program for improving the reconstruction of dense super-resolution images from diffraction-limited images acquired by single molecule localization microscopy
- Researcher for Computational Microscopy and Cell Modeling
- Wei Ouyang Receives Göran Gustafsson Prize in Applied Physics
- Research Engineer for AI-driven Web and Cloud Software Development
- Doctoral Student in Robotics and AI for Automated Microscopy Imaging
- Postdoc in Robotics and AI-powered Microscopy Imaging
- AI-assisted BioImage Analysis with GPT models
- Doctoral Student in Cell Biology and Computational Microscopy Imaging
- Postdoc in AI-powered Automated Microscopy Imaging Systems
- Postdoc in AI-powered Whole-cell Modeling
- Postdoc in Cell Biology and Computational Microscopy Imaging
- Postdoc in Scalable AI Systems for BioImage Analysis
- BioImage. IO Chatbot: A Personalized Assistant for BioImage Analysis Augmented by Community Knowledge Base
- Building the next generation of virtual cells to understand cellular biology
- JDLL: A library to run Deep Learning models on Java bioimage informatics platforms
- Moving beyond the desktop: prospects for practical bioimage analysis via the web
- An Open-Source Modular Framework for Automated Pipetting and Imaging Applications
- Bioimage model zoo: a community-driven resource for accessible deep learning in bioimage analysis
- FISH-quant v2: a scalable and modular tool for smFISH image analysis
- ShareLoc—an open platform for sharing localization microscopy data
- Uncovering molecular grammars of intrinsically disordered regions that organize nucleolar fibrillar centers
- DeepImageJ: A user-friendly environment to run deep learning models in ImageJ
- Interactive biomedical segmentation tool powered by deep learning and ImJoy
- Pycro-Manager: open-source software for customized and reproducible microscope control
- Super-resolution visualization and modeling of human chromosomal regions reveals cohesin-dependent loop structures
- Method, device, and computer program for improving the reconstruction of dense super-resolution images from diffraction-limited images acquired by single molecule localization microscopy
- Mapping the nucleolar proteome reveals a spatiotemporal organization related to intrinsic protein disorder
- Analysis of the human protein atlas image classification competition
- ImJoy: an open-source computational platform for the deep learning era
- A computational framework to study sub-cellular RNA localization
- Deep learning massively accelerates super-resolution localization microscopy
- IoT-based remote pain monitoring system: From device to cloud platform
- The imaging tsunami: computational opportunities and challenges