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.

Demand for data recovery from monolithic storage devices is high but current methods are inefficient. Here, authors develop a robotic OCT-guided inspection and microsurgery method, minimizing damage to device and enhancing data recovery efficiency.

Details

Title
Robotic-OCT guided inspection and microsurgery of monolithic storage devices
Author
He, Bin 1 ; Zhang, Yuxin 1 ; Zhao, Lu 2 ; Sun, Zhenwen 2 ; Hu, Xiyuan 3 ; Kang, Yanrong 2 ; Wang, Lei 2 ; Li, Zhihui 2 ; Huang, Wei 2 ; Li, Zhigang 2 ; Xing, Guidong 2 ; Hua, Feng 2 ; Wang, Chengming 4 ; Xue, Ping 4   VIAFID ORCID Logo  ; Zhang, Ning 2   VIAFID ORCID Logo 

 Ministry of Public Security, Institute of Forensic Science, Beijing, China (GRID:grid.464363.0); Tsinghua University and Beijing Advanced Innovation Center for Structural Biology, State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) 
 Ministry of Public Security, Institute of Forensic Science, Beijing, China (GRID:grid.464363.0) 
 Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China (GRID:grid.410579.e) (ISNI:0000 0000 9116 9901) 
 Tsinghua University and Beijing Advanced Innovation Center for Structural Biology, State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) 
Pages
5701
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2864705655
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.