Ultra-low photodamage three-photon microscopy assisted by MSAD-net: enabling high-fidelity in vivo monitoring of muscle regeneration via deep learning
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 07:15 ET (2-Apr-2026 11:15 GMT/UTC)
Skeletal muscle regeneration research is hindered by the "photodamage-imaging quality" trade-off in three-photon microscopy (3PM). A team from Zhejiang University developed the Multi-Scale Attention Denoising Network (MSAD-Net) to address this: combining MSAD-Net with 3PM reduces excitation power to 1.0–1.5 mW (1/4–1/2 of conventional levels) and scanning time to 2–3 μs/pixel (1/6–1/4 of standard), while maintaining 0.9932 SSIM and real-time denoising (80ms/frame). The system enables five-channel deep in vivo imaging of mouse muscle, uncovering key roles of macrophages and blood vessels in muscle stem cell-mediated repair.
Recently, the research team led by Prof. Hanyang Li at Harbin Engineering University has integrated functionalized liquid crystal (LC) microcavities with whispering-gallery-mode (WGM) laser technology to establish a novel real-time biosensing platform, enabling highly sensitive detection of ALT.
In a groundbreaking study that explores the complex interactions between cyanobacterial blooms and aquatic ecosystems, researchers are examining the effects of cyanobacterial growth and decline on dissolved organic matter and endogenous nutrient release at the sediment–water interface. The study, titled "Effects of Cyanobacterial Growth and Decline on Dissolved Organic Matter and Endogenous Nutrients Release at the Sediment–Water Interface," is led by Prof. Tao Huang from the School of Resources and Environmental Engineering at Anhui University in Hefei, China, and the Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration. This research offers valuable insights into the ecological and environmental impacts of cyanobacterial blooms.