Evidence map›Paper›PMID 30824592›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Interactive programming paradigm for real-time experimentation with remote living matter.

Peter Washington, Karina G Samuel-Gama, Shirish Goyal, Ashwin Ramaswami, Ingmar H Riedel-Kruse

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Review
  4. Scientific Discovery Games for Biomedical Research.Annual review of biomedical data science · 2019
    Article
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

5 authors.

Peter WashingtonDepartment of Bioengineering, Stanford University, Stanford, CA 94305.ORCID 0000-0003-3276-4411
Karina G Samuel-GamaDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Shirish GoyalDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Ashwin RamaswamiDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Ingmar H Riedel-KruseDepartment of Bioengineering, Stanford University, Stanford, CA 94305 ingmar@stanford.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in life-science instrumentation and automation enable entirely new modes of human interaction with microbiological processes and corresponding applications for science and education through biology cloud laboratories. A critical barrier for remote and on-site life-science experimentation (for both experts and nonexperts alike) is the absence of suitable abstractions and interfaces for programming living matter. To this end we conceptualize a programming paradigm that provides stimulus and sensor control functions for real-time manipulation of physical biological matter. Additionally, a simulation mode facilitates higher user throughput, program debugging, and biophysical modeling. To evaluate this paradigm, we implemented a JavaScript-based web toolkit, "Bioty," that supports real-time interaction with swarms of phototactic

Indexed as

Cloud ComputingUser-Computer InterfaceBiologyHumansSoftwareaugmented realitycloud laboratoryhuman–computer interactioninteractive biotechnologyswarm programming

Identifiers

PMID30824592
PMCPMC6431204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.