Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Urinary sediment analyzed by flow cytometry

Y Yasui1, N Tatsumi, K Park

  • 1Department of Laboratory Medicine, Osaka City University Medical School, Japan.

Cytometry
|March 15, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A single institutional experience of thymic epithelial tumours over 11 years: clinical features and outcome and implications for future management.

British journal of cancer·2007
Same author

Influence of OATP1B1 genotype on the pharmacokinetics of rosuvastatin in Koreans.

Clinical pharmacology and therapeutics·2007
Same author

Significant association between leukoaraiosis and metabolic syndrome in healthy subjects.

Neurology·2007
Same author

A large foot ulcer due to disseminated Mycobacterium avium infection in a patient with previously undiagnosed HIV infection.

The British journal of dermatology·2007
Same author

New clinical grading system for chronic GVHD predicts duration of systemic immunosuppressive treatment and GVHD-specific and overall survival.

Bone marrow transplantation·2007
Same author

EGFR gene and protein expression in breast cancers.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology·2007
Same journal

Measurement of the distribution of red blood cell deformability using an automated rheoscope.

Cytometry·2002
Same journal

Flow cytometric-based isolation of nucleated erythroid cells during maturation: an approach to cell surface antigen studies.

Cytometry·2002
Same journal

Flow cytometric immunophenotyping test for staging/monitoring neuroblastoma patients.

Cytometry·2002
Same journal

Determination of bronchoalveolar lavage leukocyte populations by flow cytometry in patients investigated for respiratory disease.

Cytometry·2002
Same journal

Multicenter clinical experience with flow cytometric method for fetomaternal hemorrhage detection.

Cytometry·2002
Same journal

Separation of live cells in different phases of the cell cycle for gene expression analysis.

Cytometry·2002
See all related articles

A new automated flow cytometer effectively screens urinary sediment, offering high correlation with microscopy for cell and cast analysis. This instrument aids in identifying specimens needing further microscopic examination for urinary tract disorders.

Area of Science:

  • Clinical chemistry
  • Medical instrumentation
  • Urology

Background:

  • Automated urinalysis can improve laboratory efficiency.
  • Microscopic examination of urinary sediment is crucial for diagnosing urinary tract disorders.
  • Current methods can be labor-intensive and time-consuming.

Purpose of the Study:

  • To design and evaluate an automated flow cytometer for urinary sediment analysis.
  • To compare the performance of the flow cytometer with conventional microscopy.
  • To assess the instrument's utility in routine laboratory screening.

Main Methods:

  • A flow cytometer was designed for automated urinary sediment analysis.
  • Auramine O dye was used for staining DNA and RNA in sediment.

Related Experiment Videos

  • 821 urine specimens were analyzed and compared to conventional microscopy.
  • Main Results:

    • High correlation was observed between flow cytometry and microscopy for RBC, WBC, bacteria, epithelial cells, and casts.
    • The instrument achieved an overall sensitivity of 84.7%, specificity of 57.8%, and efficiency of 67.2%.
    • The flow cytometer can analyze 100 specimens per hour.

    Conclusions:

    • The automated flow cytometer is a potentially useful tool for screening urinary tract disorders.
    • The instrument can efficiently identify specimens requiring microscopic analysis.
    • Further validation may enhance its diagnostic capabilities in routine settings.