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Analysis on Numbers of Observed Field and Counting Error in PCM Method by Using Monte-Carlo Simulation
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- Inoue Yasuo
- The University of Tokyo
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- Yamamoto Naomichi
- Tokai University
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- Maruki Masaru
- Oji Scientific Instruments
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- Konishi Yoshihito
- Japan Association for Working Environment Measurement
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- Yanagisawa Yukio
- The University of Tokyo
Bibliographic Information
- Other Title
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- モンテカルロシミュレーションを用いたPCM法における観察視野数と計数誤差に関する解析
- モンテカルロ シミュレーション オ モチイタ PCMホウ ニ オケル カンサツ シヤスウ ト ケイスウ ゴサ ニ カンスル カイセキ
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Description
Monte-Carlo simulation was performed to estimate the influence of numbers of observed fields in relation to counting errors of the phase contrast microscopy (PCM) method for measurements of asbestos fibers concentrations in air. By repeatedly observing 2,000 fields of virtual samples having several concentrations, relative standard deviations (RSD) as to counting fibers were estimated. Without depending on concentration levels, RSD was significantly decreased with an increase of observed numbers of the fields (up to approximately 300 fields). Even if 20% of RSD was acceptable and fibers were uniformly deposited on a virtual sample, it was necessary to observe around 300 fields in order to achieve a sufficient quantification limit to measure an environment level. It was also suggested that the PCM method should be automated to observe such many fields.
Journal
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- Papers on Environmental Information Science
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Papers on Environmental Information Science ceis22 (0), 287-290, 2008
Center for Environmental Information Science
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Details 詳細情報について
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- CRID
- 1390001205622989184
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- NII Article ID
- 130006983148
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- NII Book ID
- AN10544669
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- ISSN
- 03896633
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- NDL BIB ID
- 9757744
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed