Automated Correlation of Multiple Analyses of Particulate Samples

Details

• Personal Author:
  Harrison JC ; Stephens JW ; Wallace WE
• Description:
  Multiple types of automated analyses of large numbers of particles are correlated and displayed using an interactive data analysis method. Hundreds of particles are analyzed by both scanning electron microscopy - energy dispersive X-ray spectroscopy (SEM-EDS) and by scanning Auger electron spectroscopy (AES). Interactive data analysis software is then used to correlate the measurements between the two techniques. Additional software is used to visualize and manipulate the huge amounts of particle-by-particle data. This permits prompt visual comparison of complementary data for any set of particles. For instance, particle total elemental composition versus particle surface elemental composition is graphically displayed on SEM and AES images of fields of respirable mineral particles, and can be examined using virtual reality techniques. The method can be generalized to other combinations of automated imaging and analysis. [Description provided by NIOSH]
• Subjects:
  Occupational Health Particulate Matter Safety
• Keywords:
  Analytical-instrumentation Analytical-methods Measurement Measurement-instrumentation Particle-aerodynamics Particle-counters Particulate-dust Particulate-sampling-methods Particulates Trace-analysis Trace-substances

  More +
• ISSN:
  0065-7727
• Document Type:
  Text
• Genre:
  Abstract or Summary
• Place as Subject:
  California ; OSHA Region 3 ; OSHA Region 9 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  216
• NIOSHTIC Number:
  nn:20033849
• Citation:
  Abstr Pap - Am Chem Soc 1998 Aug; 216(Pt 1):U748
• Federal Fiscal Year:
  1998
• Peer Reviewed:
  False
• Part Number:
  1
• Source Full Name:
  Abstracts of Papers - American Chemical Society
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:64f60473784eeb39ded946aa728a81f461e7bc9037972f54b6be7b1283aa6cc84f38b1b2d85a7ac4a1c483f8b06e04eaeceaa3b13a060a0b99fea9304d0f3a57
• Download URL:
  https://stacks.cdc.gov/view/cdc/189272/cdc_189272_DS1.pdf
• File Type:
  [PDF - 211.28 KB ]