ArticleScientific reports2016
Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Super-resolution imaging using fluorescence-lifetime emission-difference.Biomedical optics express · 2026Article
- Cellular optical imaging techniques: a dynamic advancing frontier.Science China. Life sciences · 2025Review
- Phasor-FSTM: a new paradigm for multicolor super-resolution imaging of living cells based on fluorescence modulation and lifetime multiplexing.Light, science & applications · 2025Article
- Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Article
- Contrast improvement in two-photon microscopy with instantaneous differential aberration imaging.Biomedical optics express · 2019Article
- Application of an advanced maximum likelihood estimation restoration method for enhanced-resolution and contrast in second-harmonic generation microscopy.Journal of microscopy · 2017Article
- Identification of stacking faults in silicon carbide by polarization-resolved second harmonic generation microscopy.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose and demonstrate a novel subtraction microscopy algorithm, exploiting fluorescence emission difference or switching laser mode and their derivatives for image enhancement. The key novelty of the proposed approach lies in the weighted subtraction coefficient, adjusted pixel-by-pixel with respect to the intensity distributions of initial images. This method produces significant resolution enhancement and minimizes image distortions. Our theoretical and experimental studies demonstrate that this approach can be applied to any optical microscopy techniques, including label free and non-linear methods, where common super-resolution techniques cannot be used.
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Registered trials
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