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机器人光学相干断层扫描引导下的整体存储设备检查与显微手术

Robotic-OCT guided inspection and microsurgery of monolithic storage devices.

作者信息

He Bin, Zhang Yuxin, Zhao Lu, Sun Zhenwen, Hu Xiyuan, Kang Yanrong, Wang Lei, Li Zhihui, Huang Wei, Li Zhigang, Xing Guidong, Hua Feng, Wang Chengming, Xue Ping, Zhang Ning

机构信息

Institute of Forensic Science, Ministry of Public Security, 100038, Beijing, China.

State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University and Beijing Advanced Innovation Center for Structural Biology, 100084, Beijing, China.

出版信息

Nat Commun. 2023 Sep 14;14(1):5701. doi: 10.1038/s41467-023-41498-x.

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.

摘要

出于法律或商业目的,从单片存储设备(MSD)中恢复数据的需求很高。然而,传统的数据恢复方法具有破坏性、复杂且耗时。我们开发了一种用于MSD无损检测的机器人手臂辅助光学相干断层扫描(robotic-OCT),其横向分辨率约为7μm,轴向分辨率约为4μm,并且视野可调节,以适应各种MSD尺寸。使用连续扫描策略,robotic-OCT在约37秒内即可实现对微型SD卡的自动体积成像,比传统的逐点扫描快得多,传统逐点扫描通常需要数十分钟。我们还展示了robotic-OCT引导的激光消融作为一种显微手术工具,用于精确去除目标区域,精度为±10μm,准确度约为50μm,无需去除整个绝缘层且无需操作员干预,从而大大提高了数据恢复效率。这项工作在数字取证、故障分析、材料测试和质量控制等方面具有多种潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d42a/10502073/21abd1c9eaf6/41467_2023_41498_Fig1_HTML.jpg

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