ArticleBiomedical optics express2021
Visualization of quantitative lipid distribution in mouse liver through near-infrared hyperspectral imaging.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Visualization of hydrocarbon chain length and degree of saturation of fatty acids in mouse livers by combining near-infrared hyperspectral imaging and machine learning.Scientific reports · 2023Article
- Enhancing intraoperative tumor delineation with multispectral short-wave infrared fluorescence imaging and machine learning.Journal of biomedical optics · 2023Article
- Evaluating the identification of the extent of gastric cancer by over-1000 nm near-infrared hyperspectral imaging using surgical specimens.Journal of biomedical optics · 2023Article
- Hyperspectral Imaging for Viability Assessment of Human Liver Allografts During Normothermic Machine Perfusion.Transplantation direct · 2022Article
- Real-time assessment of liver fat content using a filter-based Raman system operating under ambient light through lock-in amplification.Biomedical optics express · 2022Article
- Microscopy is better in color: development of a streamlined spectral light path for real-time multiplex fluorescence microscopy.Biomedical optics express · 2022Article
- Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipid distribution in the liver provides crucial information for diagnosing the severity of fatty liver and fatty liver-associated liver cancer. Therefore, a noninvasive, label-free, and quantitative modality is eagerly anticipated. We report near-infrared hyperspectral imaging for the quantitative visualization of lipid content in mouse liver based on partial least square regression (PLSR) and support vector regression (SVR). Analysis results indicate that SVR with standard normal variate pretreatment outperforms PLSR by achieving better root mean square error (15.3 mg/g) and higher determination coefficient (0.97). The quantitative mapping of lipid content in the mouse liver is realized using SVR.
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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.