ArticleJournal of biophotonics2019
Tensor regularized total variation for denoising of third harmonic generation images of brain tumors.
Article in Journal of biophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Short-pulsed AI-augmented third harmonic generation imaging visualizes negative-contrast cell nuclei in fresh mouse liver tissue without optical-induced damage.Biomedical optics express · 2026Article
- Compact portable multiphoton microscopy reveals histopathological hallmarks of unprocessed lung tumor tissue in real time.Translational biophotonics · 2020Article
- Tensor regularized total variation for denoising of third harmonic generation images of brain tumors.Journal of biophotonics · 2019Article
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Authors and funding
3 authors.
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Abstract
Third harmonic generation (THG) microscopy shows great potential for instant pathology of brain tissue during surgery. However, the rich morphologies contained and the noise associated makes image restoration, necessary for quantification of the THG images, challenging. Anisotropic diffusion filtering (ADF) has been recently applied to restore THG images of normal brain, but ADF is hard-to-code, time-consuming and only reconstructs salient edges. This work overcomes these drawbacks by expressing ADF as a tensor regularized total variation model, which uses the Huber penalty and the L
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