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AI Driven Lab-on-Chip Cartridge for Automated Urinalysis.
Sahu, Avinash; Kandaswamy, Srinivasan; Singh, Dhanu Vardhan; Thyagarajan, Eshwarmurthy; Parthasarathy, Arun Koushik; Naganna, Sharitha; Dastidar, Tathagato Rai.
Afiliación
  • Sahu A; SigTuple Technologies Pvt. Ltd, Bengaluru, Karnataka 560102, India.
  • Kandaswamy S; SigTuple Technologies Pvt. Ltd, Bengaluru, Karnataka 560102, India. Electronic address: srinivasan@sigtuple.com.
  • Singh DV; SigTuple Technologies Pvt. Ltd, Bengaluru, Karnataka 560102, India.
  • Thyagarajan E; SigTuple Technologies Pvt. Ltd, Bengaluru, Karnataka 560102, India.
  • Parthasarathy AK; SigTuple Technologies Pvt. Ltd, Bengaluru, Karnataka 560102, India.
  • Naganna S; SigTuple Technologies Pvt. Ltd, Bengaluru, Karnataka 560102, India.
  • Dastidar TR; SigTuple Technologies Pvt. Ltd, Bengaluru, Karnataka 560102, India.
SLAS Technol ; 29(3): 100137, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38657705
ABSTRACT
After haematology, urinalysis is the most common biological test performed in clinical settings. Hence, simplified workflow and automated analysis of urine elements are of absolute necessities. In the present work, a novel lab-on-chip cartridge (Gravity Sedimentation Cartridge) for the auto analysis of urine elements is developed. The GSC consists of a capillary chamber that uptakes a raw urine sample by capillary force and performs particles and cells enrichment within 5 min through a gravity sedimentation process for the microscopic examination. Centrifugation, which is necessary for enrichment in the conventional method, was circumvented in this approach. The AI100 device (Image based autoanalyzer) captures microscopic images from the cartridge at 40x magnification and uploads them into the cloud. Further, these images were auto-analyzed using an AI-based object detection model, which delivers the reports. These reports were available for expert review on a web-based platform that enables evidence-based tele reporting. A comparative analysis was carried out for various analytical parameters of the data generated through GSC (manual microscopy, tele reporting, and AI model) with the gold standard method. The presented approach makes it a viable product for automated urinalysis in point-of-care and large-scale settings.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Urinálisis / Automatización de Laboratorios / Dispositivos Laboratorio en un Chip Límite: Humans Idioma: En Revista: SLAS Technol Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Urinálisis / Automatización de Laboratorios / Dispositivos Laboratorio en un Chip Límite: Humans Idioma: En Revista: SLAS Technol Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos