arXiv (All)
open access
Tornado Wave-Encoded Point Spread Functions for Multi-Period Three-Dimensional Localization Imaging
Three-dimensional (3D) localization microscopy using rotational point spread functions (PSFs) is fundamentally challenged by limited axial range, poor PSF compactness, and depth-decoding ambiguity -- particularly in dense specimens with heavy PSF overlap. To address these limitations, we introduce a
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
- Slot3R: Set-Associative Spatial Memory for Streaming 3D Reconstruction#1249706
- Laplace-Domain Beamforming for Ultrafast Plane-Wave Imaging#1217815
- A Spectral-Domain Pseudo-Inverse Method for True 3D Gravity Inversion#1342584
- 3d-OT: a deep geometry-aware framework for heterogeneous slices alignment of spatial multi-omics.#13580
- Vortex solitons in disclination quasicrystals#925599
Record · ID 1326856
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