Evidence map›Paper›PMID 34567616›Full record

ArticleMicrosystems & nanoengineering2020

Engineering microscale systems for fully autonomous intracellular neural interfaces.

Swathy Sampath Kumar, Michael S Baker, Murat Okandan, Jit Muthuswamy

Open access · goldAbstract read
In one paragraph

Article in Microsystems & nanoengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

4 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Single neurons on microelectrode array chip: manipulation and analyses.Frontiers in bioengineering and biotechnology · 2023
    Article
  3. Article
  4. Review
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

4 authors at 2 institutions in 1 country.

Swathy Sampath KumarBiomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287 USA.
Michael S BakerMechanical Engineering, Sandia National laboratories, Albuquerque, NM USA.
Murat OkandanmPower Technology, Inc., Albuquerque, NM 87102 USA.
Jit MuthuswamyBiomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287 USA.
Arizona State University · USSandia National Laboratories · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional electrodes and associated positioning systems for intracellular recording from single neurons in vitro and in vivo are large and bulky, which has largely limited their scalability. Further, acquiring successful intracellular recordings is very tedious, requiring a high degree of skill not readily achieved in a typical laboratory. We report here a robotic, MEMS-based intracellular recording system to overcome the above limitations associated with form factor, scalability, and highly skilled and tedious manual operations required for intracellular recordings. This system combines three distinct technologies: (1) novel microscale, glass-polysilicon penetrating electrode for intracellular recording; (2) electrothermal microactuators for precise microscale movement of each electrode; and (3) closed-loop control algorithm for autonomous positioning of electrode inside single neurons. Here we demonstrate the novel, fully integrated system of glass-polysilicon microelectrode, microscale actuators, and controller for autonomous intracellular recordings from single neurons in the abdominal ganglion of

Indexed as

BiosensorsElectrical and electronic engineering

Identifiers

PMID34567616
PMCPMC8433365
OpenAlexW3004869252

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.