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Record W1981588590 · doi:10.1111/ijlh.12150

Initial performance evaluation of the UniCel<sup>®</sup> DxH slide maker/stainer Coulter<sup>®</sup> cellular analysis system

2013· article· en· W1981588590 on OpenAlexaff
William D. Brown, Michael Keeney, Benjamin D. Hedley

Bibliographic record

VenueInternational Journal of Laboratory Hematology · 2013
Typearticle
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsRepeatabilityHematology analyzerMedicineBlood filmExternal quality assessmentEnumerationNuclear medicinePathologyChromatographyChemistryMathematics

Abstract

fetched live from OpenAlex

INTRODUCTION: Despite the advancements in instrumentation within hematology laboratories, there is still a need for review of a peripheral blood film (PBF). For a thorough PBF evaluation, it is critical that a well spread and stained film is available. METHODS: In this study, we evaluated an automatic slide maker/stainer (DxH-SMS, Beckman Coulter) compared with manually prepared blood films on 124 normal and abnormal samples. The primary goal of the study was to determine whether or not the DxH-SMS was able to consistently and reproducibly prepare and stain blood films of exemplary quality, without carryover between specimens. Additionally, repeatability of white blood cell distribution, comparability of morphology to reference methodologies, and grading of acceptance criteria outlined in the CLSI document H20-A2 were assessed. RESULTS: Carryover was not an issue and repeatability was within expected limits. There was excellent agreement of the 5-part differential between the automated blood films made by the DxH-SMS compared with the manually prepared reference blood film. There was no difference in identification and enumeration of blasts, variant lymphocytes, or nucleated red blood cells (P < 0.05). Red cell morphology showed excellent agreement. CONCLUSION: Blood films prepared by the DxH-SMS are of excellent quality, reproducible, and compare well with manually prepared slides. Introduction to our laboratory has improved and standardized slide quality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.361
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2013
Admission routes1
Has abstractyes

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