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Confocal Laser Scanning Microscopy-Based Quantitative Analysis of Aspergillus fumigatus Conidia Distribution in Whole-Mount Optically Cleared Mouse Lung
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Differential Counting of Asbestos Using Phase Contrast and Fluorescence Microscopy.

Tomoki Nishimura1,2, Maxym Alexandrov1, Takenori Ishida1

  • 11.Department of Molecular Biotechnology, Graduate School of Advanced Sciences of Matter, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8530, Japan.

The Annals of Occupational Hygiene
|September 28, 2016
PubMed
Summary
This summary is machine-generated.

A new combined phase contrast and fluorescence microscopy (PCM-FM) method accurately detects asbestos fibers. This technique is compatible with existing exposure limits and aids in risk management for industries using asbestos substitutes.

Keywords:
asbestos analysisdifferential countingfluorescence microscopy

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Area of Science:

  • Occupational Health and Safety
  • Environmental Science
  • Analytical Chemistry

Background:

  • Accurate detection of asbestos fibers is crucial for risk management, especially with the rise of asbestos substitutes.
  • Previous fluorescence microscopy (FM) methods offered high sensitivity but lacked compatibility with established asbestos exposure limits based on phase contrast microscopy (PCM).

Purpose of the Study:

  • To develop and validate a novel differential counting method using FM that complements PCM analysis and aligns with existing epidemiological data.
  • To enable rapid, on-site detection and differentiation of asbestos from non-asbestos fibers.

Main Methods:

  • A combined PCM-FM method was developed, applying fluorescent asbestos-binding probes before filter clearing.
  • The same fields of view were analyzed sequentially using PCM for fiber counting and FM for differentiation.
  • The PCM-FM method was compared against scanning electron microscopy (SEM)-based differential counting using airborne dust samples from Japanese demolition sites.

Main Results:

  • The PCM-FM method showed a slight conservative bias and variability across different fiber concentrations when compared to SEM.
  • Correlative microscopy and energy-dispersive X-ray analysis confirmed high specificity, with approximately 95% of fluorescently stained fibers correctly identified as asbestos.
  • The method allows seamless switching between PCM and FM for analysis of the same sample areas.

Conclusions:

  • The combined PCM-FM method offers a rapid and selective approach for asbestos fiber detection in field samples.
  • While further research is needed to address variability, PCM-FM is compatible with PCM-based exposure limits and epidemiological data.
  • This technique supports improved asbestos risk management in industries transitioning away from asbestos materials.