Evidence map›Paper›PMID 21557703›Full record

ArticleInternational journal of radiation biology2011

The RABiT: a rapid automated biodosimetry tool for radiological triage. II. Technological developments.

Guy Garty, Youhua Chen, Helen C Turner, Jian Zhang, Oleksandra V Lyulko, Antonella Bertucci, Yanping Xu, Hongliang Wang, Nabil Simaan, Gerhard Randers-Pehrson and 2 more

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. THE DECADE OF THE RABiT (2005-15).Radiation protection dosimetry · 2016
    Article
  14. Review
  15. Article
  16. Broad Energy Range Neutron Spectroscopy using a Liquid Scintillator and a Proportional Counter: Application to a Neutron Spectrum Similar to that from an Improvised Nuclear Device.Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment · 2015
    Article
  17. Article
  18. An automated imaging system for radiation biodosimetry.Microscopy research and technique · 2015
    Article
  19. Article
  20. 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

12 authors at 1 institution in 1 country.

Guy GartyRadiological Research Accelerator Facility, Columbia University, New York, NY 10533, USA. gyg2101@columbia.edu
Youhua Chen
Helen C Turner
Jian Zhang
Oleksandra V Lyulko
Antonella Bertucci
Yanping Xu
Hongliang Wang
Nabil Simaan
Gerhard Randers-Pehrson
Y Lawrence Yao
David J Brenner
Columbia University · US

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 U19AI067773
6 · The paper itself

Abstract

purposeOver the past five years the Center for Minimally Invasive Radiation Biodosimetry at Columbia University has developed the Rapid Automated Biodosimetry Tool (RABiT), a completely automated, ultra-high throughput biodosimetry workstation. This paper describes recent upgrades and reliability testing of the RABiT. MATERIALS AND

methodsThe RABiT analyses fingerstick-derived blood samples to estimate past radiation exposure or to identify individuals exposed above or below a cut-off dose. Through automated robotics, lymphocytes are extracted from fingerstick blood samples into filter-bottomed multi-well plates. Depending on the time since exposure, the RABiT scores either micronuclei or phosphorylation of the histone H2AX, in an automated robotic system, using filter-bottomed multi-well plates. Following lymphocyte culturing, fixation and staining, the filter bottoms are removed from the multi-well plates and sealed prior to automated high-speed imaging. Image analysis is performed online using dedicated image processing hardware. Both the sealed filters and the images are archived.

resultsWe have developed a new robotic system for lymphocyte processing, making use of an upgraded laser power and parallel processing of four capillaries at once. This system has allowed acceleration of lymphocyte isolation, the main bottleneck of the RABiT operation, from 12 to 2 sec/sample. Reliability tests have been performed on all robotic subsystems.

conclusionsParallel handling of multiple samples through the use of dedicated, purpose-built, robotics and high speed imaging allows analysis of up to 30,000 samples per day.

Indexed as

Biological AssayBlood Chemical AnalysisEquipment DesignEquipment Failure AnalysisHumansRadiation InjuriesRadioisotopesRadiometryReproducibility of ResultsRoboticsSensitivity and SpecificityTriageRadioisotopes

Identifiers

PMID21557703
PMCPMC3176460
OpenAlexW2144212348

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.