A good list of resources for the competition:
\nA good list of resources for the competition:
\nThanks for your comments and votes!
", "rawMarkdown": "Thanks for your comments and votes!", "votes": null }, { "id": "3158003", "postDate": "03/24/2025 06:16:49", "content": "What additional inputs can you share for this list?
", "rawMarkdown": "What additional inputs can you share for this list?", "votes": null } ], "comments": [ { "id": 3154226, "author_name": "kalilurrahman", "author_url": "", "post_date": "03/19/2025 17:06:09", "content": "Thanks for your comments and votes!
", "votes": null, "replies": [] }, { "id": 3158003, "author_name": "kalilurrahman", "author_url": "", "post_date": "03/24/2025 06:16:49", "content": "What additional inputs can you share for this list?
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "3144189": "A good list of resources for the competition:\n- **Bioimage Analysis Basics**: [Python for Microscopy (OpenSource Imaging)](https://opensourceimaging.org/project/python-for-microscopy/) \n- **Flagellar Motor Biology**: Review paper [\"Self-assembly and type III protein export of the bacterial flagellum\"](https://www.nature.com/articles/sj.jid.5700897) by Minamino & Namba \n- **Segmentation Models**: Kaggle Notebook [\"U-Net with TensorFlow\"](https://www.kaggle.com/code/ateplyuk/u-net-with-keras) \n- **Preprocessing Microscopy Data**: [CellProfiler Tutorial](https://cellprofiler.org/tutorials) \n- **Advanced Techniques**: Paper [\"Deep Learning for Cellular Image Analysis\"](https://www.nature.com/articles/s41592-019-0403-1) in *Nature Methods* \n\n### **Core Biological Context** \n- **Torque Generation & Motor Dynamics**: [\"The Bacterial Flagellar Motor: Insights Into Torque Generation\"](https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2022.911114/full) (Frontiers, 2022) – Explores cryo-ET insights and stator-rotor interactions. \n- **Ion Motive Force Mechanics**: [\"The Dynamic Ion Motive Force Powering the Bacterial Flagellar Motor\"](https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2021.659464/full) (Frontiers, 2021) – Links IMF to motor speed and torque. \n\n### **Image Analysis Foundations** \n- **Beginner’s Guide**: [Peter Bankhead’s Intro to Bioimage Analysis](https://www.bioimagingguide.org/03_Image_analysis/Resources.html) – Python/ImageJ exercises for microscopy. \n- **Workflow Design**: [EMBL-EBI Bioimage Analysis Webinar](https://www.ebi.ac.uk/training/events/methods-bioimage-analysis) – Covers object detection, quality control, and tools. \n- **Tool Repository**: [BioImage Informatics Index](https://www.bioimagingguide.org/03_Image_analysis/Resources.html) – Searchable database for analysis workflows. \n\n### **Machine Learning & Deep Learning** \n- **Zero-Cost DL Tools**: [ZeroCostDL4Mic](https://www.nature.com/articles/s41467-021-22518-0) (Nature, 2021) – Pre-trained models for microscopy. \n- **ML Applications**: [Leica Guide to ML in Microscopy](https://www.leica-microsystems.com/science-lab/life-science/using-machine-learning-in-microscopy-image-analysis/) – Pixel classification, segmentation best practices. \n- **3D Analysis**: [Hybrid Deep Learning/Bayesian Tracking](https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2022.931939/full) (Frontiers, 2022) – For 3D object reconstruction.", "3154226": "Thanks for your comments and votes!", "3158003": "What additional inputs can you share for this list?" }, "source": "meta" }