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Optimized workflow for digitalized FISH analysis in pathology.

Vira Chea1, Valerie Pleiner1, Viviane Schweizer1

  • 1Institute of Pathology Enge, Hardturmstr. 133, CH-8055, Zurich, Switzerland.

Diagnostic Pathology
|May 12, 2021
PubMed
Summary
This summary is machine-generated.

Implementing automated scanning for fluorescence in situ hybridization (FISH) analysis streamlines diagnostic pathology workflows. A low scanning profile significantly reduces time and storage, enhancing efficiency for routine FISH testing.

Keywords:
Digital pathologyFISHImage analysisLymphomaSarcoma

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Area of Science:

  • Pathology
  • Genetics
  • Medical Diagnostics

Background:

  • Efficient workflow management is crucial in diagnostic pathology for timely and high-quality results.
  • Fluorescence in situ hybridization (FISH) is a key technique for identifying chromosomal abnormalities in surgical pathology.

Purpose of the Study:

  • To evaluate the impact of automated whole-slide fluorescence scanning on FISH analysis workflow.
  • To compare the efficiency of different scanning profiles and signal counting methods.

Main Methods:

  • FISH analysis was performed using a rapid hybridization protocol and an automated whole-slide fluorescence scanner.
  • Two scanning profiles (low and high) were tested on 42 diagnostic cases, assessing scanning time and memory usage.
  • Manual (CaseViewer) and software-based (FISHQuant) signal counting were compared.

Main Results:

  • The 'low profile' (LP) scanning setting significantly reduced scanning time and storage volume compared to the 'high profile' (HP) setting.
  • LP is suitable for routine FISH applications due to its efficiency.
  • Both manual and software-based signal counting methods yielded comparable results.

Conclusions:

  • Automated scanning of FISH slides ensures good image quality and reduces analysis time.
  • This technology facilitates efficient archiving and remote diagnostics, optimizing laboratory workflows.