ArticleScientific reports2016
Vision-based Nano Robotic System for High-throughput Non-embedded Cell Cutting.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Advancements and challenges of nanorobots in surgical medicine: design, applications, and interdisciplinary integration.Frontiers in bioengineering and biotechnology · 2026Review
- A Review on Microscopic Visual Servoing for Micromanipulation Systems: Applications in Micromanufacturing, Biological Injection, and Nanosensor Assembly.Micromachines · 2019Review
- Digital Holography as Computer Vision Position Sensor with an Extended Range of Working Distances.Sensors (Basel, Switzerland) · 2018Article
- Visual Servoing-Based Nanorobotic System for Automated Electrical Characterization of Nanotubes inside SEM.Sensors (Basel, Switzerland) · 2018Article
- Nanorobotic System iTRo for Controllable 1D Micro/nano Material Twisting Test.Scientific reports · 2017Article
- Recent Advances on In Situ SEM Mechanical and Electrical Characterization of Low-Dimensional Nanomaterials.Scanning · 2017Review
- In Situ SEM Torsion Test of Metallic Glass Microwires Based on Micro Robotic Manipulation.Scanning · 2017Article
- Mechatronic Development and Vision Feedback Control of a Nanorobotics Manipulation System inside SEM for Nanodevice Assembly.Sensors (Basel, Switzerland) · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell cutting is a significant task in biology study, but the highly productive non-embedded cell cutting is still a big challenge for current techniques. This paper proposes a vision-based nano robotic system and then realizes automatic non-embedded cell cutting with this system. First, the nano robotic system is developed and integrated with a nanoknife inside an environmental scanning electron microscopy (ESEM). Then, the positions of the nanoknife and the single cell are recognized, and the distance between them is calculated dynamically based on image processing. To guarantee the positioning accuracy and the working efficiency, we propose a distance-regulated speed adapting strategy, in which the moving speed is adjusted intelligently based on the distance between the nanoknife and the target cell. The results indicate that the automatic non-embedded cutting is able to be achieved within 1-2 mins with low invasion benefiting from the high precise nanorobot system and the sharp edge of nanoknife. This research paves a way for the high-throughput cell cutting at cell's natural condition, which is expected to make significant impact on the biology studies, especially for the in-situ analysis at cellular and subcellular scale, such as cell interaction investigation, neural signal transduction and low invasive cell surgery.
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Registered trials
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