Fig. 6: MGV-based MMUS imaging for in vivo fibrosis detection. | Nature Materials

Fig. 6: MGV-based MMUS imaging for in vivo fibrosis detection.

From: Magneto-acoustic protein nanostructures for non-invasive imaging of tissue mechanics in vivo

Fig. 6

a, Experimental timeline of inducing liver fibrosis in a mouse model. Either CCl4 or mineral oil at a volume of 0.1 µl per g (body weight) was injected intraperitoneally twice a week for up to 4 weeks. b,c, Ultrasound images (b) and SBR quantification (c) of normal and fibrosis cohorts. The B-mode images reveal the position of the liver, AM images show the GV signal inside the liver, and the Δ MMUS images (parula) were overlapped with Doppler images (grey) to show the signal below the skin. P = 0.00033411. n = 4 for normal group, n = 7 for fibrosis group. d, Low-magnification (left) and high-magnification (right) images of H&E-stained sections in two groups. n = 3 animals per group. e, Low-magnification (left) and high-magnification (right) images of Sirius-red-stained sections in two groups. n = 3 animals per grpup. f, Quantification of the hydroxyproline content in liver from two groups. P = 0.0111. n = 4 for normal group, n = 7 for fibrosis group. In b min and max on the parula (MMUS) and hot (AM-mode) colour bars represent 0 and 500,000, respectively, and the grey (B-mode) colour bar ranges from 0 to 1,000,000 arbitrary units. Each data point represents biologically independent animals, and lines represent the median of each group. Significance was determined using an unpaired two-sided t-test: *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

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