Skin-iDISCO+ for 3D analysis of human cutaneous vasculature

This Learning Wednesday paper note highlights “Skin-iDISCO+: An optimized tissue-clearing and labeling protocol for morphometric analysis of human cutaneous vasculature.” The study is relevant to tissue clearing and 3D analysis of human cutaneous vasculature, with a focus on how three-dimensional tissue context can change what researchers see and measure.

Selected notes from the paper

"Tissue clearing enables deep imaging of long biological structures using light microscopy approaches. Here, we present Skin-iDISCO+, a tissue-clearing and labeling protocol for morphometric analysis of human cutaneous vasculature"​

"The protocol is fully adapted to both healthy and pathological skin. Immunostaining has been optimized to reveal both physiological (foreskin) and tumor vasculature (infantile hemangioma)"​

Key Steps includes "1) Skin processing, 2) Fixation, 3) Pre-treatments, 4) Immunostainings, 5) Tissue clearing, 6) Imaging 7) Vascular reconstruction and quantifications of morphometric parameters"​

"We have introduced a method to efficiently depigment samples through a simple immersion process by heating hydrogen peroxide, for a short period of time. Our approach maximizes tissue decolorization, as evident in macroscopic observation"​

"The ultimate goal of the tissue clearing protocol is to achieve transparency in samples, allowing the passage of the light beam for volumetric imaging"​.

"No significant architectural deformations were observed at the structural level. This indicates that Skin-iDISCO+ is well-suited for quantitative imaging"​

"In contrast with previous applications of tissue-clearing on skin, we proposed here the first protocol which does not use acid-denaturation of cutaneous collagen fibers"​

"Working on vasculature requires a comprehensive view of samples to track trajectory of vessels and to understand the supra-organization of peri-vascular cells, which is challenging to grasp in 2D"​

"With Skin-iDISCO+, we propose a robust vascular staining method that highlights the three main components of vessels: endothelial cells, pericytes and telocytes"​

"We then detail procedures for the reconstruction of networks and the extraction of morphometric parameters of the skin vasculature."

"3D imaging generates heavy pictures that could contain unneeded areas. We advise to determine region of interest (ROI) regions rich in information which will greatly improve the fluidity of the analysis."​

From an Alpenglow perspective, this paper is useful because it connects tissue clearing and 3D analysis of human cutaneous vasculature with a broader need in 3D spatial biology, measuring tissue architecture across depth while preserving context for quantitative analysis.