ArticleOptica2025
Space-time inverse-scattering of translation-based motion.
Article in Optica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Article
- Maskless and on-chip LED-array microscope with spatially-varying angle calibration for centimeter-scale phase imaging.bioRxiv : the preprint server for biology · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In optical diffraction tomography (ODT), a sample's 3D refractive index (RI) is often reconstructed after illuminating it from multiple angles, with the assumption that the sample remains static throughout data collection. When the sample undergoes dynamic motion during this data-collection process, significant artifacts and distortions compromise the fidelity of the reconstructed images. In this study, we develop a space-time inverse-scattering technique for ODT that compensates for the translational motion of multiple-scattering samples during data collection. Our approach involves formulating a joint optimization problem to simultaneously estimate a scattering sample's translational position at each measurement and its motion-corrected 3D RI distribution. Experimental results with weak- and multiple-scattering samples demonstrate the technique's effectiveness, yielding reconstructions with reduced artifacts, enhanced spatial resolution, and improved quantitative accuracy for samples undergoing continuous translational motion during imaging.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.