News Release

Snapshot compressive microscopy: Advancing in-situ and real-time monitoring in laser material processing

Peer-Reviewed Publication

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

High-speed, large field-of-view and high-resolution DP-SCM system.

image: 

High-speed, large field-of-view and high-resolution DP-SCM system. a, Experimental setup of DP-SCM system. b, Wide field-of-view image (left) captured by FOV path, with zoom-in image (right). c, High-resolution image captured by the HR path. In the active mode, the intelligent system has a transmitting antenna and a receiving antenna. d, Compressed measurement under an exposure time of 20 ms, compressed ratio of 10. e, Reconstructed frames from compressed measurement in c. Scale bars in b, c and d are 500 um, 50 um, and 5 um respectively.

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Credit: by Xiaodong Wang, Miao Cao, Ziyang Chen, Jiao Geng, Ting Luo, Yufei Dou, Xing Liu, Liping Shi, Xin Yuan

A team of researchers led by Yuan Xin from Westlake University and Shi Liping from Xidian University has developed a novel computational imaging system designed to address the challenges of real-time monitoring in ultrafast laser material processing. The new system, known as Dual-Path Snapshot Compressive Microscopy (DP-SCM), represents a significant advancement in the field, offering unprecedented capabilities for high-speed, high-resolution imaging.

 

Traditional microscopy techniques often struggle to meet the demands of real-time monitoring in laser processing due to their limited imaging speed, restricted field of view, and insufficient resolution. These limitations, coupled with the vast amount of data generated during high-speed imaging, have made it difficult to achieve precise monitoring in dynamic, fast-changing scenarios.

 

To overcome these challenges, the DP-SCM system employs a dual-path optical design that integrates both high-resolution and wide-field imaging capabilities. Each optical path uses snapshot compressive imaging technology, effectively breaking the bottleneck between imaging speed and data storage. This innovative approach allows the system to capture high-resolution images across a large field of view at unprecedented speeds.

 

The DP-SCM system also incorporates advanced deep learning algorithms for image reconstruction, enabling the dynamic observation of micro- and nanostructures as they evolve over time. In experimental applications, the system successfully monitored the laser material processing and growth of nanogratings, providing crucial insights into the mechanisms underlying new material formation. 


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