NIR‐II Temporal Compressive Wide‐Field Microscope (TCWM) Achieving Fluorescent Dynamic Imaging Beyond Camera Frame Rate

ABSTRACT Temporal compressive imaging enables the reconstruction of multi‐frame dynamic scenes from a single exposure by multiplexing spatially encoded temporal slices. This approach mitigates integration time loss and facilitates high‐speed imaging via low‐frame‐rate cameras. Herein, a second near‐infrared (NIR‐II) temporal compressive wide‐field microscope (TCWM) is established, utilizing the EfficientSCI algorithm for frame reconstruction. Simulations initially verify the transferability of EfficientSCI to biological microscopic imaging. Furthermore, mask acquisition with a spectrally matched NIR backlight proves effective for the high‐fidelity reconstruction of fluorescent targets. Utilizing a conventional NIR camera of 25 frames per second (FPS), NIR‐II TCWM achieves a maximum in vitro reconstruction rate of 333.3 FPS, surpassing the native frame rate by over 13‐fold. Additionally, its robust anti‐scattering capability for dynamic imaging at significant depths is substantiated using Intralipid. Finally, NIR‐II TCWM is applied to in vivo cerebrovascular imaging at depths up to 300 µm. With a 100 FPS reconstruction frame rate, NIR‐II TCWM successfully demonstrates simultaneous, high‐speed tracking of multiple fluorescent particles across multiple vessels, highlighting the potential for comprehensive deep‐tissue hemodynamic research in living organisms.

Authors

Institutions

Publication Details

Journal
Laser & Photonics Review
Published
2026-02-24
DOI
https://doi.org/10.1002/lpor.202502999
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

NIR‐II Temporal Compressive Wide‐Field Microscope (TCWM) Achieving Fluorescent Dynamic Imaging Beyond Camera Frame Rate

Yuhuang Zhang, Xiaolong Liu, Jun Qian, Yi-Xiang Wang et al.
Laser & Photonics Review
Advanced Fluorescence Microscopy Techniques
article

NIR‐II Temporal Compressive Wide‐Field Microscope (TCWM) Achieving Fluorescent Dynamic Imaging Beyond Camera Frame Rate

Yuhuang Zhang, Xiaolong Liu, Jun Qian, Yi-Xiang Wang, Yalun Wang, Xuan You, Wei Liu, Peijin Zhang
article en

Abstract

ABSTRACT Temporal compressive imaging enables the reconstruction of multi‐frame dynamic scenes from a single exposure by multiplexing spatially encoded temporal slices. This approach mitigates integration time loss and facilitates high‐speed imaging via low‐frame‐rate cameras. Herein, a second near‐infrared (NIR‐II) temporal compressive wide‐field microscope (TCWM) is established, utilizing the EfficientSCI algorithm for frame reconstruction. Simulations initially verify the transferability of EfficientSCI to biological microscopic imaging. Furthermore, mask acquisition with a spectrally matched NIR backlight proves effective for the high‐fidelity reconstruction of fluorescent targets. Utilizing a conventional NIR camera of 25 frames per second (FPS), NIR‐II TCWM achieves a maximum in vitro reconstruction rate of 333.3 FPS, surpassing the native frame rate by over 13‐fold. Additionally, its robust anti‐scattering capability for dynamic imaging at significant depths is substantiated using Intralipid. Finally, NIR‐II TCWM is applied to in vivo cerebrovascular imaging at depths up to 300 µm. With a 100 FPS reconstruction frame rate, NIR‐II TCWM successfully demonstrates simultaneous, high‐speed tracking of multiple fluorescent particles across multiple vessels, highlighting the potential for comprehensive deep‐tissue hemodynamic research in living organisms.

Laser & Photonics Review
Inner Mongolia Agricultural University (CN), International Society for Optics and Photonics (US), Zhejiang University of Science and Technology (CN), Inner Mongolia University (CN), Sir Run Run Shaw Hospital (CN), Zhejiang Gongshang University (CN), Zhejiang University (CN)
Openalex Percentile: Top 27%
Advanced Fluorescence Microscopy Techniques
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.