Evidence map›Paper›PMID 27746851›Full record

ArticleJournal of medical devices2016

Liquid Handling Optimization in High-Throughput Biodosimetry Tool.

Dakai Bian, Jason C Tsui, Mikhail Repin, Guy Garty, Helen Turner, Y Lawrence Yao, David J Brenner

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical devices, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Development of electronic training and telescoring tools to increase the surge capacity of dicentric chromosome scorers for radiological/nuclear mass casualty incidents.Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine · 2019
    Article
  2. Article
  3. THE DECADE OF THE RABiT (2005-15).Radiation protection dosimetry · 2016
    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

7 authors at 2 institutions in 1 country.

Dakai BianDepartment of Mechanical Engineering, Columbia University, New York, NY 10027 e-mail:  db2875@columbia.edu.
Jason C TsuiDepartment of Mechanical Engineering, Columbia University, New York, NY 10027.
Mikhail RepinCenter for Radiological Research, Columbia University Medical Center, New York, NY 10032.
Guy GartyCenter for Radiological Research, Columbia University Medical Center, New York, NY 10032.
Helen TurnerCenter for Radiological Research, Columbia University Medical Center, New York, NY 10032.
Y Lawrence YaoDepartment of Mechanical Engineering, Columbia University, New York, NY 10027.
David J BrennerCenter for Radiological Research, Columbia University Medical Center, New York, NY 10032.
Columbia University Irving Medical Center · USColumbia University · US

Funding

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

Abstract

Due to the need of high-speed and efficient biodosimetric assays for triage and therapy in the event of radiological or nuclear attack, a robotically based automated biodosimetry tool (RABiT) has been developed over the past few years. Adapting the micronucleus assay from filter plates to V-shaped plates presented challenges in the liquid handling, namely, cell splashing out of the V-shaped well plate during the cell harvesting, poor cell distribution on the bottom of the image plate during the dispensing, and cell loss from the image plate during the aspiration in the liquid handling process. Experimental and numerical investigations were carried out to better understand the phenomena and mitigate the problems. Surface tension and contact angle among the fluids and the plate wall were accounted for in the discrete and multiphase numerical models. Experimental conditions were optimized based on the numerical results showing the relationship between nozzle speed and amount of splashed liquid, and the relationship between aspiration speed and number of escaped cells. Using these optimized parameters, numbers of micronuclei in binucleated cells showed the same dose dependence in the RABiT-prepared samples as those in the manually prepared ones. Micronucleus assay protocol was fully realized on RABiT.

Indexed as

automated biodosimetry toolmicronucleus assayplatform-dependent liquid handling

Identifiers

PMID27746851
PMCPMC5013425
OpenAlexW2508262604

What OpenQuestion holds

Textmetadata
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.