journal article·2026-05Open access

Single‐Cell Metabolic Imaging and Digital Scoring of Fat Tissue Remodeling by Label‐Free Metabolic Microscopy

Myeongseop Kim, Constantin Berger, Alexander Wolf, Alina Peteranderl, Martin Klingenspor, Vasilis Ntziachristos, Yongguo Li, Miguel A. Pleitez

Advanced Science· Volume 13· Issue 28

Abstract

ABSTRACT Adipose tissue plasticity and functional heterogeneity play a central role in maintaining energy homeostasis, and their malfunction leads to metabolic disorders such as obesity, diabetes, and cardiometabolic disease. Rapid, single‐cell metabolic imaging of intact fat tissue not only extends our understanding of metabolic dynamics and heterogeneity but also holds great potential as a tool for clinical diagnosis. However, the use of exogenous labels and dyes in conventional optical microscopy results in tissue deformation and requires time‐consuming tissue preparation. Here, we demonstrated single‐cell imaging of metabolic changes and heterogeneity in freshly excised adipose tissues that can distinguish tissue types without the need for exogenous labels using bond‐specific, non‐destructive, mid‐infrared optoacoustic microscopy (MiROM) that allows preserving the native tissue architecture with minimal sample preparation time. Further leveraging MiROM, we monitored intracellular molecular and morphological changes during postnatal remodeling of adipose tissue when metabolic characteristics of adipocytes undergo a transient drastic change. Additionally, we developed a quantitative spatial tissue analysis tool (Q‐SAT) to predict the spatial distribution of white fat‐ and brown fat‐like features, providing a robust digital scoring method for adipose tissue phenotypic assessment. Collectively, we implemented MiROM as an enabling technology to provide fast, label‐free metabolic imaging of unprocessed adipose tissue, opening a new perspective for understanding and characterizing the morpho‐functional dynamics of adipose tissue remodeling.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Photoacoustic and Ultrasonic Imaging · Single-cell and spatial transcriptomics · Adipose Tissue and Metabolism

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Biological and Medical Imaging Bioengineering Center Helmholtz Zentrum München Neuherberg Germany

Chair of Biological Imaging Central Institute for Translational Cancer Research (TranslaTUM) School of Medicine and Health & School of Computation Information and Technology Technical University of Munich Munich Germany

Institute of Computational Biology (ICB) Helmholtz Munich Neuherberg Germany

Institute of Pharmacology and Toxicology University Hospital University of Bonn Bonn Germany

Chair for Molecular Nutritional Medicine School of Life Sciences Weihenstephan Technical University of Munich Freising Germany

Munich Institute of Robotics and Machine Intelligence (MIRMI) Technical University of Munich Munich Germany

Funding

European Research Council

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