scholarly journals We should stop calling hysteroscopic tissue removal systems ‘morcellators’

2021 ◽  
Vol 13 (3) ◽  
pp. 191-192
Author(s):  
E Saridogan
Keyword(s):  
Tissue Removal

Microhardness of sub-restoration dentine in primary molars after carious tissue removal to soft and firm dentine

2021 ◽  
Author(s):  
Araya Phonghanyudh ◽  
Chayamon Thana-olarn ◽  
Chayada Teanchai ◽  
Varangkanar Jirarattanasopha
Keyword(s):  
Primary Molars ◽  
Tissue Removal

Hard tooth tissue removal efficiency by single-mode low energy Er:YAG laser

2010 ◽  
Author(s):  
A. V. Belikov ◽  
A. V. Skrypnik ◽  
K. V. Shatilova
Keyword(s):  
Removal Efficiency ◽  
Er:Yag Laser ◽  
Single Mode ◽  
Low Energy ◽  
Tissue Removal ◽  
Tooth Tissue

Femtosecond laser for glaucoma treatment: the comparison between simulation and experimentation results on ocular tissue removal

2005 ◽  
Author(s):  
Dong Xia Hou ◽  
Bryan K. A. Ngoi ◽  
Sek Tien Hoh ◽  
Lee Huat K. Koh ◽  
Yuan Zi Deng
Keyword(s):  
Femtosecond Laser ◽  
Ocular Tissue ◽  
Tissue Removal ◽  
Glaucoma Treatment

Principles of Computer Numerical Control Applied to Small Research Animal Surgical Procedures

2018 ◽  
Author(s):  
Matthew Rynes ◽  
Leila Ghanbari ◽  
Jay Jia Hu ◽  
Daniel Sousa Schulman ◽  
Gregory Johnson ◽  
...  
Keyword(s):  
Numerical Control ◽  
Cnc Milling ◽  
Surface Profiling ◽  
Cnc Milling Machine ◽  
Milling Operations ◽  
Tissue Removal ◽  
Removal Processes ◽  
Cranial Implants ◽  
Tools And Techniques

The tools and techniques available for systems neuroscientists for neural recording and stimulation during behavior have become plentiful in the last decade. The tools for implementing these techniques in vivo, however, have not advanced respectively. The use of these techniques requires the removal of sections of skull tissue without damaging the underlying tissue, which is a very delicate procedure requiring significant training. Automating a part of the tissue removal processes would potentially enable more precise procedures to be performed, and it could democratize these procedres for widespread adoption by neuroscience lab groups. Here, we describe the ‘Craniobot’, a microsurgery platform that combines automated skull surface profiling with a computer numerical controlled (CNC) milling machine to perform a variety of microsurgical procedures in mice. Surface profiling by the Craniobot has micrometer precision, and the surface profiling information can be used to perform milling operations with relatively quick, allowing high throughput. We have used the Craniobot to perform skull thinning, small to large craniotomies, as well as drilling pilot holes for anchoring cranial implants. The Craniobot is implemented using open source and customizable machining practices and can be built with of the shelf parts for under $1000.

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