AI tools/softwares to analyze biological samples. #phd #phdlife #artificialintelligence #aitools

AI Tools/Software To Analyze Biological Samples

1. QuPath
• Type: Open-source
• Best For: Tissue analysis and quantification, with a slight learning curve for utilizing advanced features through Python scripting.
2. ImageJ/FIJI
• Type: Open-source
• Best For: Researchers looking for a customizable analysis approach with extensive plugin options.
3. HALO
• Type: Commercial
• Best For: Advanced research projects requiring detailed and precise quantitative pathology analyses.
4. Aiforia
• Type: Cloud-based (Commercial)
• Best For: Researchers requiring customized deep learning models for image analysis without deep programming knowledge.
5. CellProfiler
• Type: Open-source
• Best For: Large-scale image analysis projects requiring automated cell counting and feature extraction.
6. Ilastik
• Type: Open-source
• Best For: Segmentation and classification tasks where user input and correction are beneficial.
7. Imaris
• Type: Commercial
• Best For: Advanced 3D and 4D image analyses requiring detailed visualization and quantification.
8. Visiopharm
• Type: Commercial
• Best For: Diagnostic and research applications requiring high precision and AI-driven analysis.

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