research-article

Automated Urine Microscopy Using Scale Invariant Feature Transform

Authors:

Jennifer C. Dela Cruz,

Ramon G. Garcia,

Mikko Ivan D. Avilledo,

John Christopher M. Buera,

Rom Vincent S. Chan,

Paul Gian T. EspanaAuthors Info & Claims

ICBET '19: Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology

Pages 119 - 124

https://doi.org/10.1145/3326172.3326186

Published: 28 March 2019 Publication History

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Abstract

Urine microscopy is a tedious task that requires utmost care from the technician doing the job. In order to provide clearer images for accurate interpretation of urine samples, microscopic images must be properly focused. Likewise, it is essential for the technician to avoid contamination with the urine sample when doing the task, especially in the course of the disease. Less human handling to prevent the spread of infectious diseases must also be exercised. This study emphasizes the use of autofocus on a compound microscope and implementation of automated microscope slide adjuster with image stitching through use of Variance of Laplacian method and Scale Invariant Feature Transform (SIFT), respectively.

References

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Komori TNishikawa HSasaki KTaniguchi IOnoye T(2024)Multi-Class Urinary Sediment Particles Detection Based on YOLOv7 With Attention ModulesIEEE Access10.1109/ACCESS.2024.344826212(129753-129764)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3448262
Komori TNishikawa HTaniguchi IOnoye T(2023)Improvement of YOLOv7 with Attention Modules for Urinary Sediment Particle Detection2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)10.1109/BioCAS58349.2023.10388661(1-5)Online publication date: 19-Oct-2023
https://doi.org/10.1109/BioCAS58349.2023.10388661
Garcia RBalaba REbro EIlagan R(2021)Detection and Classification of Pathogens in Gram-Stained Dairy Cow Milk Using Otsu Method2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)10.1109/HNICEM54116.2021.9732017(1-6)Online publication date: 28-Nov-2021
https://doi.org/10.1109/HNICEM54116.2021.9732017

Index Terms

Automated Urine Microscopy Using Scale Invariant Feature Transform
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing
2. Hardware
  1. Emerging technologies
    1. Biology-related information processing

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ICBET '19: Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology

March 2019

327 pages

ISBN:9781450361309

DOI:10.1145/3326172

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 March 2019

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ICBET ' 19

ICBET ' 19: 2019 9th International Conference on Biomedical Engineering and Technology

March 28 - 30, 2019

Tokyo, Japan

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Cited By

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Komori TNishikawa HSasaki KTaniguchi IOnoye T(2024)Multi-Class Urinary Sediment Particles Detection Based on YOLOv7 With Attention ModulesIEEE Access10.1109/ACCESS.2024.344826212(129753-129764)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3448262
Komori TNishikawa HTaniguchi IOnoye T(2023)Improvement of YOLOv7 with Attention Modules for Urinary Sediment Particle Detection2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)10.1109/BioCAS58349.2023.10388661(1-5)Online publication date: 19-Oct-2023
https://doi.org/10.1109/BioCAS58349.2023.10388661
Garcia RBalaba REbro EIlagan R(2021)Detection and Classification of Pathogens in Gram-Stained Dairy Cow Milk Using Otsu Method2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)10.1109/HNICEM54116.2021.9732017(1-6)Online publication date: 28-Nov-2021
https://doi.org/10.1109/HNICEM54116.2021.9732017

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Microscopic Image Analysis and Counting of Red Blood Cells and White Blood Cells in a Urine Sample

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