Evidence map›Paper›PMID 25939519›Full record

ArticleMicroscopy research and technique2015

An automated imaging system for radiation biodosimetry.

Guy Garty, Alan W Bigelow, Mikhail Repin, Helen C Turner, Dakai Bian, Adayabalam S Balajee, Oleksandra V Lyulko, Maria Taveras, Y Lawrence Yao, David J Brenner

Abstract readEvaluation Study
In one paragraph

Article in Microscopy research and technique, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. THE DECADE OF THE RABiT (2005-15).Radiation protection dosimetry · 2016
    Article
  10. Review
  11. Article
  12. 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

10 authors.

Guy GartyDepartment of Radiation Oncology, Radiological Research Accelerator Facility, Columbia University, Irvington, New York, 10533.
Alan W BigelowDepartment of Radiation Oncology, Radiological Research Accelerator Facility, Columbia University, Irvington, New York, 10533.
Mikhail RepinDepartment of Radiation Oncology, Center for Radiological Research, Columbia University, New York, New York, 10032.
Helen C TurnerDepartment of Radiation Oncology, Center for Radiological Research, Columbia University, New York, New York, 10032.
Dakai BianDepartment of Mechanical Engineering, Columbia University, New York, New York, 10027.
Adayabalam S BalajeeDepartment of Radiation Oncology, Center for Radiological Research, Columbia University, New York, New York, 10032.
Oleksandra V LyulkoDepartment of Radiation Oncology, Radiological Research Accelerator Facility, Columbia University, Irvington, New York, 10533.
Maria TaverasDepartment of Radiation Oncology, Center for Radiological Research, Columbia University, New York, New York, 10032.
Y Lawrence YaoDepartment of Mechanical Engineering, Columbia University, New York, New York, 10027.
David J BrennerDepartment of Radiation Oncology, Center for Radiological Research, Columbia University, New York, New York, 10032.

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
NIAID NIH HHS U19 AI067773NIAID NIH HHS U19-AI067773
6 · The paper itself

Abstract

We describe here an automated imaging system developed at the Center for High Throughput Minimally Invasive Radiation Biodosimetry. The imaging system is built around a fast, sensitive sCMOS camera and rapid switchable LED light source. It features complete automation of all the steps of the imaging process and contains built-in feedback loops to ensure proper operation. The imaging system is intended as a back end to the RABiT-a robotic platform for radiation biodosimetry. It is intended to automate image acquisition and analysis for four biodosimetry assays for which we have developed automated protocols: The Cytokinesis Blocked Micronucleus assay, the γ-H2AX assay, the Dicentric assay (using PNA or FISH probes) and the RABiT-BAND assay.

Indexed as

AutomationCytokinesisHistonesHumansImage Processing, Computer-AssistedMicronucleus, GermlineMicronucleus TestsRadiometryHistonesdicentricsfluorescence microscopymBANDmicronucleisCMOSγ-H2AX

Identifiers

PMID25939519
PMCPMC4479970

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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.