Label-free multimodal nonlinear optical microscopy identifies markers of macrophage polarization

Tumor-associated macrophages are key immune cells in the tumor microenvironment. They promote or inhibit tumor progression based on their polarization state: M0 (resting/nonpolarized), M1 (proinflammatory/anti-tumorigenic), and M2 (anti-inflammatory/pro-tumorigenic). Traditional classification methods are invasive and marker dependent. This study employs multimodal nonlinear optical imaging, combining label-free SRS and TPEF microscopy, to noninvasively identify macrophage activation states in in vitro murine models at the single-cell level. Synchronized laser pulses for SRS and TPEF microscopy were generated using a dual-output fiber optical parametric oscillator. SRS imaging at the 2930 cm<sup>-1</sup> and 2855 cm<sup>-1</sup> Raman shifts visualized the lipid and protein distribution at the sub-cellular level. Simultaneously, TPEF imaging visualized NAD(P)H and FAD autofluorescence signals, enabling optical metabolic measurements of the cellular redox state. SRS microscopy identified lipidome alterations as key markers and provided insights in the different lipid/protein ratios that characterize the macrophage phenotypes. ORR analysis revealed distinct metabolic signatures and heterogeneous metabolic populations. Our results highlight the potential of non-invasive multimodal label-free imaging for advancing the understanding of macrophage polarization mechanisms, potentially enabling the development of innovative macrophage-targeted cancer therapies.

Authors

Institutions

Publication Details

Published
2025-03-19
DOI
https://doi.org/10.1117/12.3040912
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Label-free multimodal nonlinear optical microscopy identifies markers of macrophage polarization

Francesco Manetti, Dario Polli, Salvatore Sorrentino, Emanuela Jacchetti et al.
Immune cells in cancer
article

Label-free multimodal nonlinear optical microscopy identifies markers of macrophage polarization

Francesco Manetti, Dario Polli, Salvatore Sorrentino, Emanuela Jacchetti, Giulio Cerullo, Maria Luisa Mandelli, Manuela Teresa Raimondi, Renzo Vanna, Andrea Rabolini, Benedetta Gavazzoni
article en

Abstract

Tumor-associated macrophages are key immune cells in the tumor microenvironment. They promote or inhibit tumor progression based on their polarization state: M0 (resting/nonpolarized), M1 (proinflammatory/anti-tumorigenic), and M2 (anti-inflammatory/pro-tumorigenic). Traditional classification methods are invasive and marker dependent. This study employs multimodal nonlinear optical imaging, combining label-free SRS and TPEF microscopy, to noninvasively identify macrophage activation states in in vitro murine models at the single-cell level. Synchronized laser pulses for SRS and TPEF microscopy were generated using a dual-output fiber optical parametric oscillator. SRS imaging at the 2930 cm<sup>-1</sup> and 2855 cm<sup>-1</sup> Raman shifts visualized the lipid and protein distribution at the sub-cellular level. Simultaneously, TPEF imaging visualized NAD(P)H and FAD autofluorescence signals, enabling optical metabolic measurements of the cellular redox state. SRS microscopy identified lipidome alterations as key markers and provided insights in the different lipid/protein ratios that characterize the macrophage phenotypes. ORR analysis revealed distinct metabolic signatures and heterogeneous metabolic populations. Our results highlight the potential of non-invasive multimodal label-free imaging for advancing the understanding of macrophage polarization mechanisms, potentially enabling the development of innovative macrophage-targeted cancer therapies.

Istituto di Fotonica e Nanotecnologie (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 94%
Immune cells in cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.