ArticleInnovation (Cambridge (Mass.))2023
Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy.
Article in Innovation (Cambridge (Mass.)), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 36 citations in OpenAlex.
- Structured illumination microscopy for high SNR 3D imaging from millimeter-thick tissues to cellular dynamics.Innovation (Cambridge (Mass.)) · 2026Article
- Cellular optical imaging techniques: a dynamic advancing frontier.Science China. Life sciences · 2025Review
- Super-Resolution Microscopy Reveals Alterations in Clathrin Structure in Human Cancer Tissue.The American journal of pathology · 2025Article
- Fast reconstruction and optical-sectioning three-dimensional structured illumination microscopy.Innovation (Cambridge (Mass.)) · 2025Article
- Light sheet fluorescence microscopy: Advancing biological discovery with more dimensions, higher speed, and lower phototoxicity.Innovation (Cambridge (Mass.)) · 2024Review
- Fast, faster, and the fastest structured illumination microscopy.Light, science & applications · 2024Article
- Ultra-high spatio-temporal resolution imaging with parallel acquisition-readout structured illumination microscopy (PAR-SIM).Light, science & applications · 2024Article
- Stochastically structured illumination microscopy scan less super resolution imaging.Npj imaging · 2024Article
- Superresolution structured illumination microscopy reconstruction algorithms: a review.Light, science & applications · 2023Review
- Confocal Laser Scanning Microscope Imaging of Custom-Made Multi-Cylinder Phantoms: Theory and Experiment.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 6 institutions in 2 countries.
Funding
Abstract
Super-resolution structured illumination microscopy (SR-SIM) is finding increasing application in biomedical research due to its superior ability to visualize subcellular dynamics in living cells. However, during image reconstruction artifacts can be introduced and when coupled with time-consuming postprocessing procedures, limits this technique from becoming a routine imaging tool for biologists. To address these issues, an accelerated, artifact-reduced reconstruction algorithm termed joint space frequency reconstruction-based artifact reduction algorithm (JSFR-AR-SIM) was developed by integrating a high-speed reconstruction framework with a high-fidelity optimization approach designed to suppress the sidelobe artifact. Consequently, JSFR-AR-SIM produces high-quality, super-resolution images with minimal artifacts, and the reconstruction speed is increased. We anticipate this algorithm to facilitate SR-SIM becoming a routine tool in biomedical laboratories.
Identifiers
What OpenQuestion 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 OpenQuestion graph.