ArticleGigaScience2020
Artifact-free whole-slide imaging with structured illumination microscopy and Bayesian image reconstruction.
Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 26 citations in OpenAlex.
- Correlative scanning electron and super-resolution structured illumination microscopy.bioRxiv : the preprint server for biology · 2026Article
- Principal component analysis for three-dimensional structured illumination microscopy (PCA-3DSIM).Light, science & applications · 2025Article
- Single-Frame Vignetting Correction for Post-Stitched-Tile Imaging Using VISTAmap.Nanomaterials (Basel, Switzerland) · 2025Article
- High-resolution assessment of multidimensional cellular mechanics using label-free refractive-index traction force microscopy.Communications biology · 2024Article
- Structured illumination microscopy for cancer identification in diagnostic breast biopsies.PloS one · 2024Article
- Improving optical sectioning with spinning disk structured illumination microscopy.Optics express · 2023Article
- Super-Resolution Imaging of Neuronal Structures with Structured Illumination Microscopy.Bioengineering (Basel, Switzerland) · 2023Article
- Superresolution structured illumination microscopy reconstruction algorithms: a review.Light, science & applications · 2023Review
- Super-resolution imaging of neuronal structure with structured illumination microscopy.bioRxiv : the preprint server for biology · 2023Article
- Rapid On-Site Microscopy and Mapping of Diagnostic Biopsies for See-And-Treat Guidance of Localized Prostate Cancer Therapy.Cancers · 2023Article
- Article
- High-fidelity structured illumination microscopy by point-spread-function engineering.Light, science & applications · 2021Article
- Artifact-free whole-slide imaging with structured illumination microscopy and Bayesian image reconstruction.GigaScience · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundStructured illumination microscopy (SIM) is a method that can be used to image biological samples and can achieve both optical sectioning and super-resolution effects. Optimization of the imaging set-up and data-processing methods results in high-quality images without artifacts due to mosaicking or due to the use of SIM methods. Reconstruction methods based on Bayesian estimation can be used to produce images with a resolution beyond that dictated by the optical system.
findingsFive complete datasets are presented including large panoramic SIM images of human tissues in pathophysiological conditions. Cancers of the prostate, skin, ovary, and breast, as well as tuberculosis of the lung, were imaged using SIM. The samples are available commercially and are standard histological preparations stained with hematoxylin-eosin.
conclusionThe use of fluorescence microscopy is increasing in histopathology. There is a need for methods that reduce artifacts caused by the use of image-stitching methods or optical sectioning methods such as SIM. Stitched SIM images produce results that may be useful for intraoperative histology. Releasing high-quality, full-slide images and related data will aid researchers in furthering the field of fluorescent histopathology.
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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.