Robotic-OCT guided inspection and microsurgery of monolithic storage devices

Bin He, Yuxin Zhang, Lu Zhao, Zhenwen Sun, Xiyuan Hu, Yanrong Kang, Lei Wang, Zhihui Li, Wei Huang, Zhigang Li, Guidong Xing, Feng Hua, Chengming Wang, Ping Xue () and Ning Zhang ()
Additional contact information
Bin He: Ministry of Public Security
Yuxin Zhang: Ministry of Public Security
Lu Zhao: Ministry of Public Security
Zhenwen Sun: Ministry of Public Security
Xiyuan Hu: Nanjing University of Science and Technology
Yanrong Kang: Ministry of Public Security
Lei Wang: Ministry of Public Security
Zhihui Li: Ministry of Public Security
Wei Huang: Ministry of Public Security
Zhigang Li: Ministry of Public Security
Guidong Xing: Ministry of Public Security
Feng Hua: Ministry of Public Security
Chengming Wang: Tsinghua University and Beijing Advanced Innovation Center for Structural Biology
Ping Xue: Tsinghua University and Beijing Advanced Innovation Center for Structural Biology
Ning Zhang: Ministry of Public Security

Nature Communications, 2023, vol. 14, issue 1, 1-14

Abstract: Abstract Data recovery from monolithic storage devices (MSDs) is in high demand for legal or business purposes. However, the conventional data recovery methods are destructive, complicated, and time-consuming. We develop a robotic-arm-assisted optical coherence tomography (robotic-OCT) for non-destructive inspection of MSDs, offering ~7 μm lateral resolution, ~4 μm axial resolution and an adjustable field-of-view to accommodate various MSD sizes. Using a continuous scanning strategy, robotic-OCT achieves automated volumetric imaging of a micro-SD card in ~37 seconds, significantly faster than the traditional stop-and-stare scanning that typically takes tens of minutes. We also demonstrate the robotic-OCT-guided laser ablation as a microsurgical tool for targeted area removal with precision of ±10 μm and accuracy of ~50 μm, eliminating the need to remove the entire insulating layer and operator intervention, thus greatly improving the data recovery efficiency. This work has diverse potential applications in digital forensics, failure analysis, materials testing, and quality control.

Date: 2023
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DOI: 10.1038/s41467-023-41498-x

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