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 Video

Updated: Jun 24, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

[An adaptive threshloding segmentation method for urinary sediment image].

Yongming Li1, Xiaoping Zeng, Jian Qin

  • 1College of Communication Engineering, Chongqing University, Chongqing 400030, China. lymcentor@yahoo.com.cn

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|April 2, 2009
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

Analysis of the association between dietary patterns and nonalcoholic fatty liver disease in a county in Guangxi.

BMC gastroenterology·2023
Same author

ANGPTL2+cancer-associated fibroblasts and SPP1+macrophages are metastasis accelerators of colorectal cancer.

Frontiers in immunology·2023
Same author

Gastrointestinal Bleeding From a Transverse Colon Dieulafoy Lesion.

Cureus·2023
Same author

IGF2BP3 drives gallbladder cancer progression by m6A-modified CLDN4 and inducing macrophage immunosuppressive polarization.

Translational oncology·2023
Same author

ApoE gene polymorphisms and metals and their interactions with cognitive function.

BMC medical genomics·2023
Same author

Preliminary exploration of the effects of environmental factors on the microsatellite status of BRAF-mutated colorectal cancer.

World journal of surgical oncology·2023
Same journal

[Advances in research on neuroelectrophysiological characteristics of post-stroke cognitive impairment based on quantitative electroencephalography and acupuncture interventions].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Mechanisms and applications of magnesium ion-regulated stem cell functions in promoting tendon-bone interface healing].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research on auditory neurofeedback technology and its multi-disciplinary applications].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Application and perspective of novel auditory intervention paradigms based on verbal and nonverbal stimuli for severe traumatic brain injury].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research progress on the neuromodulation targets in stroke rehabilitation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
See all related articles

This study introduces a novel method for segmenting complex, out-of-focus urinary sediment images. The technique effectively handles defocusing and overlapping cells, achieving precise segmentation results for medical image analysis.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Computational Biology

Context:

  • Urinary sediment image analysis is crucial for diagnosing various medical conditions.
  • Defocusing and overlapping cells present significant challenges in accurate image segmentation.
  • Existing segmentation methods often struggle with the complexities of biological samples.

Purpose:

  • To develop a robust and precise method for segmenting complicated defocusing urinary sediment images.
  • To overcome the limitations of current techniques in handling image defocusing and cell overlap.
  • To improve the accuracy and reliability of automated urinary sediment analysis.

Summary:

  • A novel segmentation method is proposed, utilizing wavelet transforms and morphology to mitigate defocusing effects.

More Related Videos

Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates
11:24

Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates

Published on: March 7, 2017

Related Experiment Videos

Last Updated: Jun 24, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates
11:24

Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates

Published on: March 7, 2017

  • Adaptive thresholding on subimages and a 'peel off' algorithm address segmentation of overlapped cells.
  • Experimental results demonstrate the method's effectiveness and precision, unaffected by image defocusing.

    • Impact:

    • Enables more accurate and reliable automated analysis of urinary sediment images.
    • Provides a valuable tool for clinical diagnostics and research in urology and pathology.
    • Advances the field of medical image processing for biological sample analysis.