Author
Listed:
- Sixian You
(University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign)
- Haohua Tu
(University of Illinois at Urbana-Champaign)
- Eric J. Chaney
(University of Illinois at Urbana-Champaign)
- Yi Sun
(University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign)
- Youbo Zhao
(University of Illinois at Urbana-Champaign)
- Andrew J. Bower
(University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign)
- Yuan-Zhi Liu
(University of Illinois at Urbana-Champaign)
- Marina Marjanovic
(University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign)
- Saurabh Sinha
(University of Illinois at Urbana-Champaign)
- Yang Pu
(University of Illinois at Urbana-Champaign)
- Stephen A. Boppart
(University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign)
Abstract
Intravital microscopy (IVM) emerged and matured as a powerful tool for elucidating pathways in biological processes. Although label-free multiphoton IVM is attractive for its non-perturbative nature, its wide application has been hindered, mostly due to the limited contrast of each imaging modality and the challenge to integrate them. Here we introduce simultaneous label-free autofluorescence-multiharmonic (SLAM) microscopy, a single-excitation source nonlinear imaging platform that uses a custom-designed excitation window at 1110 nm and shaped ultrafast pulses at 10 MHz to enable fast (2-orders-of-magnitude improvement), simultaneous, and efficient acquisition of autofluorescence (FAD and NADH) and second/third harmonic generation from a wide array of cellular and extracellular components (e.g., tumor cells, immune cells, vesicles, and vessels) in living tissue using only 14 mW for extended time-lapse investigations. Our work demonstrates the versatility and efficiency of SLAM microscopy for tracking cellular events in vivo, and is a major enabling advance in label-free IVM.
Suggested Citation
Sixian You & Haohua Tu & Eric J. Chaney & Yi Sun & Youbo Zhao & Andrew J. Bower & Yuan-Zhi Liu & Marina Marjanovic & Saurabh Sinha & Yang Pu & Stephen A. Boppart, 2018.
"Intravital imaging by simultaneous label-free autofluorescence-multiharmonic microscopy,"
Nature Communications, Nature, vol. 9(1), pages 1-9, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04470-8
DOI: 10.1038/s41467-018-04470-8
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