Evidence map›Paper›PMID 32405052›Full record

ArticleNature protocols2020

Assembly and operation of an open-source, computer numerical controlled (CNC) robot for performing cranial microsurgical procedures.

Mathew L Rynes, Leila Ghanbari, Daniel Sousa Schulman, Samantha Linn, Michael Laroque, Judith Dominguez, Zahra S Navabi, Peter Sherman, Suhasa B Kodandaramaiah

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Mathew L RynesDepartment of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Leila Ghanbari *Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Daniel Sousa Schulman *Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Samantha LinnDepartment of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Michael LaroqueSchools of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
Judith DominguezDepartment of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Zahra S NavabiDepartment of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Peter ShermanDepartment of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Suhasa B KodandaramaiahDepartment of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA. suhasabk@umn.edu.ORCID http://orcid.org/0000-0002-7767-2644
University of Minnesota · USUniversity of Minnesota Medical Center · US

Funding

Miniaturized head-mounted device for pan-cortical electro-optical activity monitoringR01NS111028 · NINDS · UNIVERSITY OF MINNESOTA · PI KODANDARAMAIAH, SUHASA B, SWISHER, SARAH L · 2019 to 2023
$2.4M
Opto-Crown: Transparent skulls with embedded optics for cortex-wide cellular resolution imaging in freely moving miceRF1NS113287 · NINDS · UNIVERSITY OF MINNESOTA · PI BOYDEN, EDWARD S., KODANDARAMAIAH, SUHASA B · 2019 to 2019
$2.0M
Structural, single-cell transcriptomic, and functional 3-photon mapping of spinal pain circuitsR34NS111654 · NINDS · UNIVERSITY OF MINNESOTA · PI KARA, PRAKASH, KODANDARAMAIAH, SUHASA B · 2019 to 2019
$660k
Supplement: Robotic Platform for High-Densisty in Vivo Intracellular recordingR21NS103098 · NINDS · UNIVERSITY OF MINNESOTA · PI HARNETT, MARK THOMAS, KODANDARAMAIAH, SUHASA B · 2017 to 2018
$483k
Functional and transcriptomic profiling of synaptically connected dorsal horn neuronsR21NS112886 · NINDS · UNIVERSITY OF MINNESOTA · PI KODANDARAMAIAH, SUHASA B, VULCHANOVA, LYUDMILA H · 2019 to 2020
$411k
Headborne autopatchers for autonomous intracellular recordings in freely moving, behaving ratsR21NS111196 · NINDS · UNIVERSITY OF MINNESOTA · PI KODANDARAMAIAH, SUHASA B · 2019 to 2019
$390k
NINDS NIH HHS NIH 1R21NS103098-01NINDS NIH HHS R01 NS111028NINDS NIH HHS R21 NS103098NINDS NIH HHS R21 NS111196NINDS NIH HHS R21 NS112886NINDS NIH HHS R34 NS111654NINDS NIH HHS RF1 NS113287
6 · The paper itself

Abstract

Cranial microsurgery is an essential procedure for accessing the brain through the skull that can be used to introduce neural probes that measure and manipulate neural activity. Neuroscientists have typically used tools such as high-speed drills adapted from dentistry to perform these procedures. As the number of technologies available for neuroscientists has increased, the corresponding cranial microsurgery procedures to deploy them have become more complex. Using a robotic tool that automatically performs these procedures could standardize cranial microsurgeries across neuroscience laboratories and democratize the more challenging procedures. We have recently engineered a robotic surgery platform that utilizes principles of computer numerical control (CNC) machining to perform a wide variety of automated cranial procedures. Here, we describe how to adapt, configure and use an inexpensive desktop CNC mill equipped with a custom-built surface profiler for performing CNC-guided microsurgery on mice. Detailed instructions are provided to utilize this 'Craniobot' for performing circular craniotomies for coverslip implantation, large craniotomies for implanting transparent polymer skulls for cortex-wide imaging access and skull thinning for intact skull imaging. The Craniobot can be set up in <2 weeks using parts that cost <$1,500, and we anticipate that the Craniobot could be easily adapted for use in other small animals.

Indexed as

AnimalsCraniotomyEquipment DesignFemaleMaleMiceMice, Inbred C57BLMicrosurgeryRobotic Surgical ProceduresSkull

Identifiers

PMID32405052
PMCPMC10276354
OpenAlexW3025146945

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.