Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 56 | Automated Urine Analysis |
Jovan Barac Patrick Shalton Siddharth Garg |
Amr Ghoname | design_document1.pdf final_paper1.pdf photo1.jpg photo2.jpg photo3.jpg photo4.jpg presentation1.pptx proposal1.pdf |
|
| # Automated Urine Analysis Team Members: - Siddharth Garg (ssgarg2) - Jovan Barac (jbarac2) - Patrick Shalton (shalton3) # Problem Urine sample analysis is essential for managing patients with chronic disease but these tests are often tedious for the patients to conduct and usually involve providing a sample to a lab or collecting urine over 24 hours. Moreover, patients and doctors may be missing out on valuable information from the tests if the patient cannot come in regularly to provide a sample. # Solution Create an autonomous system that allows for the sanitized movement of urine/cleaning liquid, which we refer as “solution,” to a glass slide to be imaged and sent wirelessly to a workstation for a doctor or technician to be analyzed. This takes out the middleman of the need for samples to be processed at a separate lab, and gets the results from health professional to patient with haste. # Solution Components ## Pump This will drive the solution from the float fluid sensor, and deliver it to the imaging window/slide. Whilst waiting from the flow sensor and image capturing response signal from the control system, pressure will be built to evacuate the slide (perfusion chamber) so the next solution set can be brought in. We won’t need a high power pump as the capacity of the slide is minimal, but the pump will most importantly create the pressure differential for exit flow. ## Camera This camera will be attached to a microscope focused on the imaging window through which the sample flows. Based on when the pump activates and the current sample is in the window, it will take multiple sample photographs that will be uploaded to a network drive to be viewed by a doctor. This camera should be able to capture photos that visualize the cells and cast in the urine as well as be able to have the right focus to capture the image. ## Control System The control system will use an STM8 or STM32 microcontroller to control the pump and camera systems, as well as send the sample photographs to the analysis location. To do this, it will use either a resistive sensor or float device to determine when the urine is at the threshold value, run the pump, and take input from a flow sensor to transfer .5mL (amount variable to specification) of urine to the slide. It will then trigger the camera to take a photo, store the photo, and send it to an external computer for human analysis. It will repeat this process up to 5 times, after which it would send the urine to a waste reservoir by flushing the system and observation slide with a cleaning fluid. # Criterion For Success -The system should be completely autonomous from the point the urine is collected to uploading the images to the network drive. -The system should be hygienic and leak-free. -The images captured should be of sufficient quality for a doctor to analyze the sample. -The imaging window of the microscope should be cleaned between samples and the entire system should be flushed once all the data is collected. |
|||||