Evidence map›Paper›PMID 41432104›Full record

ArticleEnvironmental science. Processes & impacts2026

Flow imaging microscopy-based method for rapid, high-throughput measurement of fiber count and length distributions in air.

Bon Ki Ku, Pramod Kulkarni

Abstract read
In one paragraph

Article in Environmental science. Processes & impacts, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Bon Ki KuCenters for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Health Effects Laboratory Division (HELD), 1090 Tusculum Ave, MS-R7, Cincinnati, Ohio 45226, USA. davidku1016@gmail.com.ORCID http://orcid.org/0000-0002-1233-0790
Pramod KulkarniCenters for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Health Effects Laboratory Division (HELD), 1090 Tusculum Ave, MS-R7, Cincinnati, Ohio 45226, USA. davidku1016@gmail.com.ORCID http://orcid.org/0000-0001-7692-4662

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Assessing airborne fiber length and number in air samples is crucial for evaluating workplace exposure to asbestos and elongate mineral particles (EMPs). Growing concerns about noncommercial EMPs highlight the need for efficient monitoring methods. Phase Contrast Microscopy (PCM), used in the National Institute for Occupational Safety and Health (NIOSH) Method 7400, is a standard technique but is labor-intensive and time-consuming, examining only about 0.2% of the filter area and yielding 100-200 fiber counts. This study evaluates flow imaging microscopy (FIM) as a rapid, high-throughput alternative for measuring fiber number and length distribution. To validate its accuracy, monodisperse polystyrene latex standards (5-50 µm) were analyzed using 4X and 10X objective lenses. Test glass fibers were prepared as (i) suspensions in deionized water and (ii) aerosols collected on cascade mesh micro-screens to produce fibers of varying lengths. FIM demonstrated accurate sizing for spherical particles (5-50 µm), with biases under 13% for 4X and 3% for 10X. Counting accuracy biases were below 22% for 4X and 10% for 10X, with relative standard deviations (RSDs) of 4.7% and 9.0%, respectively. Fiber length distributions at 10X showed geometric mean lengths of 8.0-26 µm, closely agreeing with PCM (average bias ∼16.6%). Comparisons of fiber density showed that discrepancies between the two methods decreased as fiber counts increased, highlighting the significance of high-throughput measurement with FIM. The results indicate that FIM's high-throughput ability shows potential for analyzing workplace air samples more quickly and cost-effectively, while still providing superior counting statistics.

Indexed as

Air PollutantsAir Pollutants, OccupationalEnvironmental MonitoringMicroscopyMineral FibersAerosolsParticle SizeAerosolsAir PollutantsAir Pollutants, OccupationalMineral Fibers

Identifiers

PMID41432104
PMCPMC13055205

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.