ArticleScientific reports2021
Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Gene Expression Alterations Associated With Resveratrol-Induced Antiproliferative Effects and S-Phase Cell Cycle Arrest in Osteosarcoma Cancer Cells.Journal of cellular and molecular medicine · 2026Article
- Adaptive pixel attention network for hyperspectral image classification.Scientific reports · 2024Article
- Combining AI Tools with Non-Destructive Technologies for Crop-Based Food Safety: A Comprehensive Review.Foods (Basel, Switzerland) · 2023Review
- Polarimetric imaging for the detection of synthetic models of SARS-CoV-2: A proof of concept.Journal of quantitative spectroscopy & radiative transfer · 2023Article
- Exploring the identification of multiple bacteria on stainless steel using multi-scale spectral imaging from microscopic to macroscopic.Scientific reports · 2022Article
- Review
Corrections and comments
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Authors and funding
27 authors at 10 institutions in 2 countries.
Funding
Abstract
Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agro-food industry. Recently, near-infrared (NIR) spectroscopy revealed that it is also possible to detect the presence of viruses in animal and vegetal tissues. Here we report a platform based on visible and NIR (VNIR) hyperspectral imaging for non-contact, reagent free detection and quantification of laboratory-engineered viral particles in fluid samples (liquid droplets and dry residue) using both partial least square-discriminant analysis and artificial feed-forward neural networks. The detection was successfully achieved in preparations of phosphate buffered solution and artificial saliva, with an equivalent pixel volume of 4 nL and lowest concentration of 800 TU·[Formula: see text]L
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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.