BME100 s2015:Group16 12pmL6
BME 100 Spring 2015 | Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help | |||||
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LAB 6 WRITE-UPBayesian StatisticsOverview of the Original Diagnosis System For this experiment, patients were tested for the disease-associate SNP using PCR methods. The results from this test was accumulated from 26 BME100 groups of 5 students who diagnosed a total of 52 patients. Several steps were taken to prevent error in the results. Regarding the PCR section of the experiment, 3 replicate samples of each patient were used in order to account for error during the lab. Since each patient had 3 samples that were processed in the PCR lab the error for the results should be decreased because if one sample is inaccurate, there are two other viable samples. PCR positive and negative controls also help prevent errors by providing a comparison sample for the patients sample. The numbers from the results of these base samples are used to determine if a sample is positive or negative.To prevent error in the ImageJ calculations, 3 drop images per PCR sample were used for calculations and the mean of the three images was calculated for each individual sample. Averaging the three images will decrease the error that can occur between drop images. Calibration controls for ImageJ were also used as comparison to the other sample concentrations in order to assure that the correct results were given. After examining the final data for the BME100 PCR results, there were 22 successful conclusions from the lab meaning that the calculated results and actual results matched each other for each patient. There were some inconclusive results, however, we disregarded them because they do not give a definitive result. There were also some blank data in which the group did not perform a PCR diagnosis to determine if the PCR samples were positive or negative. Several results were not included in the final data due to their inaccurate calculations and final results. What Bayes Statistics Imply about This Diagnostic Approach
Calculation 2 results: The Bayes value for calculation 2 is close to 1.00 meaning that the individual PCR replicates for concluding whether or not a person has the disease SNP is reliable.
Calculations 4 results: The Bayes value for calculation 4 is close to 1.00 meaning that using PCR for predicting the development of the disease, diagnosis, is reliable. Computer-Aided DesignTinkerCAD To create our new device PCR device the TinkerCAD software was used. TinkerCAD is a online 3D modeling program that allows anyone to design semi-complex objects wit pre-built parts or by importing parts. While not as complex and comprehensive as as programs such as Solid Works it does allow anyone the ability to freely design the look of an object in three dimensions. For our Design lab TinkerCAD was used to assemble the Open PCR device and then construct changes to the device after determining what changes need to be made to improve the device. Our Design
Side View:
Feature 1: Consumables KitItems included in the kit:
Feature 2: Hardware - PCR Machine & Fluorimeter |