A human interruption-free robotic platform for autonomous analysis of urinary samples

2025 · doi:10.22541/au.173579957.78670691/v1
preprint OA: closed
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The paper reports a preprint describing a human interruption-free robotic platform designed to automate urine sample handling and colorimetric analysis of target markers, coupled to an imaging chamber and image-processing workflow. Using artificial urine, the authors characterize robotic operation, light distribution, and image analysis performance for detecting glucose, protein, and pH, and report performance parameters comparable to or better than conventional urine assays under similar protocols. A stated limitation is that the work is a preprint with preliminary data that has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Urine, a bodily by-product which conveys a number of physiological insights is a potential candidate for ongoing, regular health assessment. Despite their remarkable advancements, automated urine analyzers remain laboratory-based instruments that need labor-intensive sample processing and analysis, rendering them unsuitable for routine health screening. To expedite routine health screening, this work reports on a human interruption-free robotic platform that bypasses the manual operation for biological sample assay including handling of assay steps and colorimetric analysis of target markers in the sample. The robotic arm and the customized Android app; the key components of the platform automate the assay inside an imaging chamber eluding manual operation under similar assay protocols for multiple measurements and processes post-assayed image to quantify the target urine markers. Detailed characterization of the robotic operation, light distribution, and image analysis of the proposed platform was applied in the detection of glucose, protein and pH level in artificial urine sample that reveals a set of essential performance parameters that are comparable to, or even better than, that of conventional urine assay. As a result, it is believed that the proposed device may suitably be applied for autonomous analysis of other biological samples as a routine point-of-care (PoC) device.
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Abstract

Urine, a bodily by-product which conveys a number of physiological insights is a potential candidate for ongoing, regular health assessment. Despite their remarkable advancements, automated urine analyzers remain laboratory-based instruments that need labor-intensive sample processing and analysis, rendering them unsuitable for routine health screening. To expedite routine health screening, this work reports on a human interruption-free robotic platform that bypasses the manual operation for biological sample assay including handling of assay steps and colorimetric analysis of target markers in the sample. The robotic arm and the customized Android app; the key components of the platform automate the assay inside an imaging chamber eluding manual operation under similar assay protocols for multiple measurements and processes post-assayed image to quantify the target urine markers. Detailed characterization of the robotic operation, light distribution, and image analysis of the proposed platform was applied in the detection of glucose, protein and pH level in artificial urine sample that reveals a set of essential performance parameters that are comparable to, or even better than, that of conventional urine assay. As a result, it is believed that the proposed device may suitably be applied for autonomous analysis of other biological samples as a routine point-of-care (PoC) device. Supplementary Material File (manuscript.docx) - Download - 1.95 MB Information & Authors Information Version history Peer review timeline Published Engineering Reports Version of Record17 Mar 2026Published Copyright This work is licensed under a Non Exclusive No Reuse License.

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Authors Metrics & Citations Metrics Article Usage 160views 76downloads Citations Download citation M. Humayet Islam, M. Robiul Islam, G. Rabbi, et al. A human interruption-free robotic platform for autonomous analysis of urinary samples. Authorea. 02 January 2025. DOI: https://doi.org/10.22541/au.173579957.78670691/v1 DOI: https://doi.org/10.22541/au.173579957.78670691/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

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