HAL (France)
open access
AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth
Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study molecular structure at the nanoscale level in the intact cell, bridging the mesoscale gap to classical structural biology methodologies. Analysis of super-resolution data by artifici
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Introducing Diinamic, a flexible and robust method for clustering analysis in single-molecule localization microscopy#1235543
- Fast and Lightweight Network for Single Frame Structured Illumination Microscopy Super-Resolution#634120
- Super-resolution fight club: assessment of 2D and 3D single-molecule localization microscopy software#235362
- Super-Resolution Microscopy and Its Applications in Biological Structure and Function#642202
- A practical workflow for analyzing organelle spatial proximity with super-resolution microscopy.#785696
Record · ID 1235260
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive