ArticleScientific reports2019
Development of the Self Optimising Kohonen Index Network (SKiNET) for Raman Spectroscopy Based Detection of Anatomical Eye Tissue.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Visibility-Graph Analysis of Raman Spectra in Chalazion and Lipid Dysregulation: An Exploratory Study.Entropy (Basel, Switzerland) · 2026Article
- Label-free in vivo molecular profiling of the human retina by non-resonant Raman spectroscopy.Communications biology · 2026Article
- Multimodal machine learning and Raman spectroscopy uncover biochemical pathways of autumnal leaf senescence.BMC plant biology · 2026Article
- Emerging Technologies for Timely Point-of-Care Diagnostics of Skin Cancer.Global challenges (Hoboken, NJ) · 2025Review
- Resilient sustainable current and emerging technologies for foodborne pathogen detection.Sustainable food technology · 2025Review
- Unsupervised self-organising map classification of Raman spectra from prostate cell lines uncovers substratified prostate cancer disease states.Scientific reports · 2025Article
- Freshness in Salmon by Hand-Held Devices: Methods in Feature Selection and Data Fusion for Spectroscopy.ACS food science & technology · 2024Article
- Advanced Tuneable Micronanoplatforms for Sensitive and Selective Multiplexed Spectroscopic Sensing via Electro-Hydrodynamic Surface Molecular Lithography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Vibrational spectroscopic profiling of biomolecular interactions between oak powdery mildew and oak leaves.Soft matter · 2024Article
- Applications of Raman spectroscopy in ocular biofluid detection.Frontiers in chemistry · 2024Review
- Window into the mind: Advanced handheld spectroscopic eye-safe technology for point-of-care neurodiagnostic.Science advances · 2023Article
- Article
- Review: Emerging Eye-Based Diagnostic Technologies for Traumatic Brain Injury.IEEE reviews in biomedical engineering · 2023Review
- Optimization of Nanosubstrates toward Molecularly Surface-Functionalized Raman Spectroscopy.The journal of physical chemistry. C, Nanomaterials and interfaces · 2022Article
- Photobiomodulation reduces hippocampal apoptotic cell death and produces a Raman spectroscopic "signature".PloS one · 2022Article
- Development and Characterization of a Probe Device toward Intracranial Spectroscopy of Traumatic Brain Injury.ACS biomaterials science & engineering · 2021Article
- Article
- Spectroscopic detection of traumatic brain injury severity and biochemistry from the retina.Biomedical optics express · 2020Article
- CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Raman spectroscopy shows promise as a tool for timely diagnostics via in-vivo spectroscopy of the eye, for a number of ophthalmic diseases. By measuring the inelastic scattering of light, Raman spectroscopy is able to reveal detailed chemical characteristics, but is an inherently weak effect resulting in noisy complex signal, which is often difficult to analyse. Here, we embraced that noise to develop the self-optimising Kohonen index network (SKiNET), and provide a generic framework for multivariate analysis that simultaneously provides dimensionality reduction, feature extraction and multi-class classification as part of a seamless interface. The method was tested by classification of anatomical ex-vivo eye tissue segments from porcine eyes, yielding an accuracy >93% across 5 tissue types. Unlike traditional packages, the method performs data analysis directly in the web browser through modern web and cloud technologies as an open source extendable web app. The unprecedented accuracy and clarity of the SKiNET methodology has the potential to revolutionise the use of Raman spectroscopy for in-vivo applications.
Indexed as
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.