Visualization of quantitative lipid distribution in mouse liver through near-infrared hyperspectral imaging

Posted on 12.01.2021 - 14:55
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.

CITE THIS COLLECTION

Select your citation style and then place your mouse over the citation text to select it.
OKUBO, KYOHEI; Kitagawa, Yuichi; Hosokawa, Naoki; Umezawa, Masakazu; Kamimura, Masao; Kamiya, Tomonori; et al. (2021): Visualization of quantitative lipid distribution in mouse liver through near-infrared hyperspectral imaging. The Optical Society. Collection. https://doi.org/10.6084/m9.figshare.c.5256089.v2
or

SHARE

email
Publisher Logo

AUTHORS (8)

KYOHEI OKUBO
Yuichi Kitagawa
Naoki Hosokawa
Masakazu Umezawa
Masao Kamimura
Tomonori Kamiya
Naoko Ohtani
Kohei Soga

CATEGORIES

need help?