Histograms and proportional distribution of particulate matter.

<p>(a) Histogram distribution of three parameters from mean data gathered from 108 samples: frequency (percent) of each sub-range of % identified particles (left), concentration (middle), and mean area (right). The mean and standard error of each histogram appears in the top right of each bloc...

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Bibliographic Details
Main Author:	Sigal Hirsch (21410356) (author)
Other Authors:	Ziv Porat (5269298) (author), Ishai Dror (497133) (author), Yaniv Shilo (11135139) (author), Brian Berkowitz (497134) (author)
Published:	2025
Subjects:	Biochemistry Medicine Cell Biology Genetics Molecular Biology Biotechnology Ecology Immunology Cancer Hematology Virology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified yielding valuable insights uses flow cytometry may potentially lead imaging flow cytometry identifying novel markers particulate matter present characterize particulate matter particles may pass urinary particulate matter urine samples relative significant concentration differences div >< p 6 </ sup particles containing calcium total particles within particles within containing particles particulate content urinary tract total number particles traversing associated particles study presents specific subtypes scale studies research contributes protein complexes protein aggregates notable scarcity method enabled initial investigation including cells healthy individuals fluorescent tagging crystalline structures categorized according birefringence technique benchmark ranges bacteria ),
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Histograms and proportional distribution of particulate matter.

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