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Advanced Brain Tissue Imaging with Data-Consistent Diffusion Priors in Laminographic X-Ray Nanoimaging

Paper recorded by Signals 4 on 2026-09-09 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-09 on arXiv · recorded by Signals 4 on 2026-09-10

Category: cs.CV · 计算机视觉 · first seen 2026-09-10

Abstract

Nanoscale imaging of mammalian brains is critical for connectomics. X-ray laminography enables high-throughput imaging of extended, plate-like biological specimens. However, the tilted acquisition geometry leads to incomplete Fourier-space coverage, giving rise to a missing-cone of information. Conventional reconstruction methods cannot recover unmeasured information within the cone, resulting in

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#103 most recent of 237 cs.CV papers we have recorded · ↑ newer: AgroVisNet: A lightweight Convolutional Network and the BD-PlantDX Exp · ↓ older: Candor-LR: A Dyadic Conversational Dataset for Audio-Visual Speech Rec
Cite this page: Advanced Brain Tissue Imaging with Data-Consistent Diffusion Priors in Laminographic X-Ray Nanoimaging: the #103 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/advanced-brain-tissue-imaging-with-data-consistent-diffusion-priors-in-laminogra.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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