Bibliographic Details
Title: |
Deep and Dynamic Metabolic and Structural Imaging in Living Tissues |
Authors: |
Liu, Kunzan, Cao, Honghao, Shashaty, Kasey, Yu, Li-Yu, Spitz, Sarah, Pramotton, Francesca Michela, Wan, Zhengpeng, Kan, Ellen L., Tevonian, Erin N., Levy, Manuel, Lendaro, Eva, Kamm, Roger D., Griffith, Linda G., Wang, Fan, Qiu, Tong, You, Sixian |
Publication Year: |
2024 |
Collection: |
Physics (Other) |
Subject Terms: |
Physics - Optics, Physics - Biological Physics |
More Details: |
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. Comment: 20 pages, 5 figures, under review in Science Advances |
Document Type: |
Working Paper |
Access URL: |
http://arxiv.org/abs/2404.11901 |
Accession Number: |
edsarx.2404.11901 |
Database: |
arXiv |