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#PhaseRetrieval
Posts tagged #PhaseRetrieval on Bluesky
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A theoretical framework for the development of dynamic nuclear polarization neutron macromolecular crystallography to advance the resolution of H atoms within biomolecular crystals is presented #DynamicNuclearPolarization #PhaseRetrieval #Hydrogen doi.org/10.1107/S205...

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Optimal Frames for Phase Retrieval Linked to Polygon Geometry

Optimal Frames for Phase Retrieval Linked to Polygon Geometry

Optimal frames for phase retrieval map to polygons that maximize perimeter for a fixed diameter, and harmonic frames aren’t optimal for any even m ≥ 4. Read more: getnews.me/optimal-frames-for-phase... #phaseretrieval #polygongeometry #harmonicframes

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Event-Based Vision Sensors Enable Faster, Low‑Light Phase Retrieval

Event-Based Vision Sensors Enable Faster, Low‑Light Phase Retrieval

Researchers used an event‑based vision sensor with sub‑millisecond latency, showing event capture removed sequential exposures and improved low‑light phase retrieval. Read more: getnews.me/event-based-vision-senso... #eventbasedvision #phaseretrieval

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Stable Phase Retrieval: Optimal Rates in Poisson & Heavy‑Tailed Noise

Stable Phase Retrieval: Optimal Rates in Poisson & Heavy‑Tailed Noise

Researchers show that in the Poisson regime, non-convex and convex least-squares estimators attain the minimax-optimal O(√n/m) error bound; the preprint was posted on 1 Oct 2025. getnews.me/stable-phase-retrieval-o... #phaseretrieval #poissonnoise

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New Study Evaluates Amplitude-Based Models for Low-Rank Matrix Recovery

New Study Evaluates Amplitude-Based Models for Low-Rank Matrix Recovery

Researchers show amplitude‑based methods can recover low‑rank matrices from noisy magnitude data, proving error ≈ ‖η‖₂/√p when measurements p ≳ (m+n)r. Sep 2025. Read more: getnews.me/new-study-evaluates-ampl... #phaseretrieval #lowrank

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New Algorithm Boosts Sample Efficiency in Sparse Phase Retrieval

New Algorithm Boosts Sample Efficiency in Sparse Phase Retrieval

gESP initialization expands the class of signals recoverable with Ω(k log n) sample complexity in sparse phase retrieval and needs fewer measurements than prior methods. Read more: getnews.me/new-algorithm-boosts-sam... #sparse #phaseretrieval

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Preview
Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram X-ray phase contrast imaging significantly improves the visualization of structures with weak or uniform absorption, broadening its applications across a wide range of scientific disciplines. Propagation-based phase contrast is particularly suitable for...

An Editors' Pick via #OPG_OpEx: Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram https://bit.ly/4mTgzMw #XRayTomography #PhaseRetrieval @brookhavenlab.bsky.social

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