Deep and Dynamic Metabolic and Structural Imaging in Living Tissues (2404.11901v1)
Abstract: Label-free imaging through two-photon autofluorescence (2PAF) of NAD(P)H allows for non-destructive and high-resolution visualization of cellular activities in living systems. However, its application to thick tissues and organoids has been restricted by its limited penetration depth within 300 $\mu$m, largely due to tissue scattering at the typical excitation wavelength (~750 nm) required for NAD(P)H. Here, we demonstrate that the imaging depth for NAD(P)H can be extended to over 700 $\mu$m in living engineered human multicellular microtissues by adopting multimode fiber (MMF)-based low-repetition-rate high-peak-power three-photon (3P) excitation of NAD(P)H at 1100 nm. This is achieved by having over 0.5 MW peak power at the band of 1100$\pm$25 nm through adaptively modulating multimodal nonlinear pulse propagation with a compact fiber shaper. Moreover, the 8-fold increase in pulse energy at 1100 nm enables faster imaging of monocyte behaviors in the living multicellular models. These results represent a significant advance for deep and dynamic metabolic and structural imaging of intact living biosystems. The modular design (MMF with a slip-on fiber shaper) is anticipated to allow wide adoption of this methodology for demanding in vivo and in vitro imaging applications, including cancer research, autoimmune diseases, and tissue engineering.
- Georgakoudi, I. et al. NAD(P)H and collagen as in vivo quantitative fluorescent biomarkers of epithelial precancerous changes. Cancer Res. 62, 682–687 (2002).
- Evaluating cell metabolism through autofluorescence imaging of NAD(P)H and FAD. Antioxidants & Redox Signaling 30, 875–889 (2019).
- Liu, Z. et al. Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast. Sci. Adv. 4, eaap9302 (2018).
- Skala, M. C. et al. In vivo multiphoton microscopy of NADH and FAD redox states, fluorescence lifetimes, and cellular morphology in precancerous epithelia. Proc. Natl. Acad. Sci. U.S.A. 104, 19494–19499 (2007).
- Walsh, A. J. et al. Optical metabolic imaging identifies glycolytic levels, subtypes, and early-treatment response in breast cancer. Cancer Res. 73, 6164–6174 (2013).
- Brain metabolism dictates the polarity of astrocyte control over arterioles. Nature 456, 745–749 (2008).
- Intravital metabolic autofluorescence imaging captures macrophage heterogeneity across normal and cancerous tissue. Front. Bioeng. Biotechnol. 9, 644648 (2021).
- Walsh, A. J. et al. Classification of T-cell activation via autofluorescence lifetime imaging. Nat. Biomed. Eng. 5, 77–88 (2021).
- You, S. et al. Intravital imaging by simultaneous label-free autofluorescence-multiharmonic microscopy. Nat. Commun. 9, 2125 (2018).
- Deep tissue two-photon microscopy. Nat. Methods 2, 932–940 (2005).
- Two-photon fluorescence spectroscopy and microscopy of NAD(P)H and flavoprotein. Biophys. J. 82, 2811–2825 (2002).
- Multiphoton excitation cross-sections of molecular fluorophores. Bioimaging 4, 198–207 (1996).
- Zipfel, W. R. et al. Live tissue intrinsic emission microscopy using multiphoton-excited native fluorescence and second harmonic generation. Proc. Natl. Acad. Sci. U.S.A. 100, 7075–7080 (2003).
- Horton, N. G. et al. In vivo three-photon microscopy of subcortical structures within an intact mouse brain. Nat. Photon. 7, 205–209 (2013).
- Three-photon neuronal imaging in deep mouse brain. Optica 7, 947–960 (2020).
- Choe, K. et al. Intravital three-photon microscopy allows visualization over the entire depth of mouse lymph nodes. Nat. Immunol. 23, 330–340 (2022).
- Wang, T. et al. Three-photon imaging of mouse brain structure and function through the intact skull. Nat. Methods 15, 789–792 (2018).
- Wang, G. et al. Supercontinuum intrinsic fluorescence imaging heralds ‘free view’ of living systems. bioRxiv 2024–01 (2024).
- Gentle label-free nonlinear optical imaging relaxes linear-absorption-mediated triplet. bioRxiv 2023–10 (2023).
- Third harmonic generation microscopy of cells and tissue organization. J. Cell Sci. 129, 245–255 (2016).
- Débarre, D. et al. Imaging lipid bodies in cells and tissues using third-harmonic generation microscopy. Nat. Methods 3, 47–53 (2006).
- Yildirim, M. et al. Label-free three-photon imaging of intact human cerebral organoids for tracking early events in brain development and deficits in Rett syndrome. Elife 11, e78079 (2022).
- Second-harmonic imaging microscopy for visualizing biomolecular arrays in cells, tissues and organisms. Nat. Biotechnol. 21, 1356–1360 (2003).
- Imaging cells and extracellular matrix in vivo by using second-harmonic generation and two-photon excited fluorescence. Proc. Natl. Acad. Sci. U.S.A. 99, 11014–11019 (2002).
- You, S. et al. Slide-free virtual histochemistry (Part II): detection of field cancerization. Biomed. Opt. Express 9, 5253–5268 (2018).
- You, S. et al. Label-free visualization and characterization of extracellular vesicles in breast cancer. Proc. Natl. Acad. Sci. U.S.A. 116, 24012–24018 (2019).
- You, S. et al. Real-time intraoperative diagnosis by deep neural network driven multiphoton virtual histology. npj Precision Oncology 3, 33 (2019).
- You, S. et al. Label-free deep profiling of the tumor microenvironment. Cancer Res. 81, 2534–2544 (2021).
- Park, J. et al. In vivo label-free optical signatures of chemotherapy response in human pancreatic ductal adenocarcinoma patient-derived xenografts. Commun. Biol. 6, 980 (2023).
- Qiu, T. et al. Spectral-temporal-spatial customization via modulating multimodal nonlinear pulse propagation. Nat. Commun. 15, 2031 (2024).
- Recent advances in fibre lasers for nonlinear microscopy. Nat. Photon. 7, 875–882 (2013).
- Intravital imaging to study cancer progression and metastasis. Nat. Rev. Cancer 23, 25–42 (2023).
- Walsh, A. J. et al. Quantitative optical imaging of primary tumor organoid metabolism predicts drug response in breast cancer. Cancer Res. 74, 5184–5194 (2014).
- Tumour-cell invasion and migration: diversity and escape mechanisms. Nat. Rev. Cancer 3, 362–374 (2003).
- Macrophages: obligate partners for tumor cell migration, invasion, and metastasis. Cell 124, 263–266 (2006).
- Pham, D. L. et al. Perspectives on label-free microscopy of heterogeneous and dynamic biological systems. J. Biomed. Opt. 29, S22702–S22702 (2025).
- Friedl, P. Prespecification and plasticity: shifting mechanisms of cell migration. Curr. Opin. Cell Biol. 16, 14–23 (2004).
- Zervantonakis, I. K. et al. Three-dimensional microfluidic model for tumor cell intravasation and endothelial barrier function. Proc. Natl. Acad. Sci. U.S.A. 109, 13515–13520 (2012).
- Capturing complex 3D tissue physiology in vitro. Nat. Rev. Mol. Cell Biol. 7, 211–224 (2006).
- Nonlinear multimode photonics: nonlinear optics with many degrees of freedom. Optica 9, 824–841 (2022).
- Krupa, K. et al. Multimode nonlinear fiber optics, a spatiotemporal avenue. APL Photonics 4, 110901 (2019).
- Physics of highly multimode nonlinear optical systems. Nat. Phys. 18, 1018–1030 (2022).
- Spatiotemporal mode-locking in multimode fiber lasers. Science 358, 94–97 (2017).
- Harnessing a multi-dimensional fibre laser using genetic wavefront shaping. Light Sci. Appl. 9, 149 (2020).
- Ding, Y. et al. Spatiotemporal mode-locking in lasers with large modal dispersion. Phys. Rev. Lett. 126, 093901 (2021).
- Ji, K. et al. Mode attraction, rejection and control in nonlinear multimode optics. Nat. Commun. 14, 7704 (2023).
- Krupa, K. et al. Spatial beam self-cleaning in multimode fibres. Nat. Photon. 11, 237–241 (2017).
- Ultrafast supercontinuum generation in bulk condensed media. Lithuanian Journal of Physics 57, 113–157 (2017).
- Multiphoton excitation of molecular fluorophores and nonlinear laser microscopy. In Topics in Fluorescence Spectroscopy: Volume 5: Nonlinear and Two-Photon-Induced Fluorescence, 471–540 (Springer, 2002).
- Multicolor three-photon fluorescence imaging with single-wavelength excitation deep in mouse brain. Sci. Adv. 7, eabf3531 (2021).
- Vascularized organoids on a chip: strategies for engineering organoids with functional vasculature. Lab on a Chip 21, 473–488 (2021).
- Wan, Z. et al. A robust method for perfusable microvascular network formation in vitro. Small Methods 6, 2200143 (2022).
- Ouzounov, D. G. et al. In vivo three-photon imaging of activity of GCaMP6-labeled neurons deep in intact mouse brain. Nat. Methods 14, 388–390 (2017).
- Hajal, C. et al. Engineered human blood-brain barrier microfluidic model for vascular permeability analyses. Nat. Protoc. 17, 95–128 (2022).
- Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
- Optical imaging using endogenous contrast to assess metabolic state. Annu. Rev. Biomed. Eng. 14, 351–367 (2012).
- Pochechuev, M. et al. Stain-free subcellular-resolution astrocyte imaging using third-harmonic generation. Opt. Lett. 44, 3166–3169 (2019).
- Mitochondria as signaling organelles in the vascular endothelium. Proc. Natl. Acad. Sci. U.S.A. 103, 5379–5384 (2006).
- The metabolic engine of endothelial cells. Nat. Metab. 1, 937–946 (2019).
- Bidirectional control of CNS capillary diameter by pericytes. Nature 443, 700–704 (2006).
- Hall, C. N. et al. Capillary pericytes regulate cerebral blood flow in health and disease. Nature 508, 55–60 (2014).
- Pericytes in capillaries are contractile in vivo, but arterioles mediate functional hyperemia in the mouse brain. Proc. Natl. Acad. Sci. U.S.A. 107, 22290–22295 (2010).
- Witte, S. et al. Label-free live brain imaging and targeted patching with third-harmonic generation microscopy. Proc. Natl. Acad. Sci. U.S.A. 108, 5970–5975 (2011).
- Zhang, S. et al. Interstitial flow promotes the formation of functional microvascular networks in vitro through upregulation of matrix metalloproteinase-2. Adv. Funct. Mater. 32, 2206767 (2022).
- Ko, E. C. et al. Accelerating the in vitro emulation of Alzheimer’s disease-associated phenotypes using a novel 3D blood-brain barrier neurosphere co-culture model. Front. Bioeng. Biotechnol. 11 (2023).