Evidence map›Paper›PMID 23085918›Full record

ArticleJournal of biomedical optics2012

Impact of the optical depth of field on cytogenetic image quality.

Yuchen Qiu, Xiaodong Chen, Yuhua Li, Bin Zheng, Shibo Li, Wei R Chen, Hong Liu

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. 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

7 authors.

Yuchen QiuUniversity of Oklahoma, Center for Bioengineering and School of Electrical and Computer Engineering, 660 Parrington Oval, Norman, Oklahoma 73019, USA.
Xiaodong Chen
Yuhua Li
Bin Zheng
Shibo Li
Wei R Chen
Hong Liu

Funding

A computer aided chromosome imaging technique for cancer diagnosisR01CA115320 · NCI · UNIVERSITY OF OKLAHOMA · PI LIU, HONG · 2006 to 2010
$1.6M
Automated FISH Imaging and Analysis for Screening Cervical CancerR01CA136700 · NCI · UNIVERSITY OF OKLAHOMA · PI LIU, HONG · 2009 to 2010
$825k
NCI NIH HHS CA115320NCI NIH HHS CA136700NCI NIH HHS R01 CA115320NCI NIH HHS R01 CA136700
6 · The paper itself

Abstract

In digital pathology, clinical specimen slides are converted into digital images by microscopic image scanners. Since random vibration and mechanical drifting are unavoidable on even high-precision moving stages, the optical depth of field (DOF) of microscopic systems may affect image quality, in particular when using an objective lens with high magnification power. The DOF of a microscopic system was theoretically analyzed and experimentally validated using standard resolution targets under 60× dry and 100× oil objective lenses, respectively. Then cytogenetic samples were imaged at in-focused and off-focused states to analyze the impact of DOF on the acquired image qualities. For the investigated system equipped with the 60× dry and 100× oil objective lenses, the theoretical estimation of the DOF are 0.855 μm and 0.703 μm, and the measured DOF are 3.0 μm and 1.8 μm, respectively. The observation reveals that the chromosomal bands of metaphase cells are distinguishable when images are acquired up to approximately 1.5 μm or 1 μm out of focus using the 60× dry and 100× oil objective lenses, respectively. The results of this investigation provide important designing trade-off parameters to optimize the digital microscopic image scanning systems in the future.

Indexed as

ArtifactsLensesAlgorithmsChromosome MappingCytogenetic AnalysisEquipment DesignEquipment Failure AnalysisImage EnhancementImage Interpretation, Computer-AssistedMicroscopy, FluorescenceReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID23085918
PMCPMC3444261

What OpenQuestion holds

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Registered trials

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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.