arXiv (All)
open access
Calibrating Sensing Drift in Tomographic Inversion
Scanning-probe x-ray tomography is useful for imaging nanoscale structures of a sample. The image resolution, which can reach down to 10 nm by the increased brightness and coherence of the x-ray optics, however, is highly susceptible to experimental error. Failure to address these errors can lead to
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
- LINGO: Latent Initialization and Gradient Optimization for Sparse-view X-ray Novel View Synthesis and CT Reconstruction with 3D Gaussian Splatting#1037532
- Bayesian Structure Determination in Coherent X-ray Scattering / Michael Alexander Maihöfer ; Gutachter: Helmut Grubmüller, Tim Salditt ; Betreuer: Helmut Grubmüller#1078527
- Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT#1090645
- Deep Pseudo-Proximal Map: A Self-Supervised Data-Fitting Agent for Iterative Reconstruction#1105286
- GSNR: Graph Smooth Null-Space Representation for Inverse Problems#986825
Record · ID 1063230
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