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Confronta modelli biologici, motori di docking e flussi di calcolo affiancati. Filtra per modello di accesso, impronta di calcolo e categoria per ottenere una tabella decisionale attuabile in meno di un minuto.
| Attributo | ＋ Aggiungi strumento | |||
|---|---|---|---|---|
| Category | Research Imaging & Structural Analysis | Research Imaging & Structural Analysis | Research Imaging & Structural Analysis | — |
| Subcategory | Cell Segmentation | Conventional or Statistical Baselines | Cell Segmentation | — |
| Company | StarDist contributors | Research / method authors | Van Valen Lab | — |
| Access mode | Public code | Confirm distribution and exact release | Research code or publication | — |
| Licence conditions | Check repository and pretrained-model licences | NOT_INDEPENDENTLY_AUDITED | Check code and model weights separately | — |
| Compute requirements | Version and workload dependent; not independently benchmarked | Version and data dependent | Check selected checkpoint and runtime; no GPU catalog recommendation | — |
| Biological application | Non registrato | Non registrato | Non registrato | — |
| Research workflow | Non registrato | Non registrato | Non registrato | — |
| Evidence level | Project documentation; no local benchmark | OFFICIAL_DOCUMENTATION | Peer-reviewed primary method | — |
| Commercial eligibility | Confirm exact code, weights and data terms | NOT_INDEPENDENTLY_AUDITED | Unknown, requires audit | — |
| Price | See access and licence terms | Verify access and licence | Check selected model licence | — |
| Availability ⓘ | Public code | Method paper or official documentation | Public research method/code | — |
| Features | Object detection with star-convex shapes, Documented research workflow | CellProfiler scientific method, Microscopy images and configured classical image-analysis modules, Segmented objects and quantitative image features | Automated cell instance segmentation using detector and Segment Anything models for supported microscopy., Individual cell instance masks | — |
| Entry type | Research software / model | Classical/statistical scientific method | Research AI model / method | — |
| AI role | Machine-learning software | NON_AI_CLASSICAL | Published biomedical AI method | — |
| Input data | Microscopy images | Microscopy images and configured classical image-analysis modules | Microscopy images; chosen checkpoint and pixel size | — |
| Output data | Object instances and segmentation masks | Segmented objects and quantitative image features | Individual cell instance masks | — |
| Validation | Evaluate on representative held-out data | Published method scope; no independent BioAtlas execution or benchmark | Requires independent dataset-specific evaluation | — |
| Type | Non registrato | Non registrato | Non registrato | — |
| Intended use | Non registrato | Non registrato | Non registrato | — |
| Compatibility | Non registrato | Non registrato | Non registrato | — |