BME100 s2017:Group10 W8AM L6

BME 100 Spring 2017	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
OUR COMPANY: Error creating thumbnail: Unable to save thumbnail to destination Name: Ali Ahmed Error creating thumbnail: Unable to save thumbnail to destination Name: Airam Coronel Error creating thumbnail: Unable to save thumbnail to destination Name: Max Darst Error creating thumbnail: Unable to save thumbnail to destination Name: Emily Tanner Error creating thumbnail: Unable to save thumbnail to destination Name: Vanessa Trujillo Our Brand Name: FluoriCam LAB 6 WRITE-UP Bayesian Statistics Overview of the Original Diagnosis System Each lab group was assigned two patients to test for the diseased SNP. There were 10 lab groups, which added up to 20 total patients. Each group consisted of 4-6 members. Multiple steps were taken to prevent error. It was vital to utilize positive and negative PCR controls to compare with all of the patients, so the results could be determined accurately. There were three replicates executed per patient and the patients' results were compared to the control results. Completing multiple trials allows for more quantitative data to further ensure accuracy. This helps minimize error when it comes to misdiagnosis of the disease associated with the SNP. Calibration controls were used in ImageJ, which allowed for the group to measure and analyze the amount of SYBR Green 1 in the pictures of the DNA drops. Three drop images were used for each patient’s sample, and the pictures had to be as identical as possible (or else they were retaken) in order to reduce error and ensure precision and accuracy. If an obscure or seemingly random measurement was present, it could be easily identified compared to the other data samples. For all of the data, and the 20 tests run total, 12 patients tested positive with successful conclusions, 24 would test negative, and the remaining 4 would be inconclusive with the disease associated SNP. What Bayes Statistics Imply about This Diagnostic Approach Bayes statistical analysis was used in this lab to show whether this approach is an accurate and reliable one for testing for diseased SNPs. The results for calculation 1 and 2 indicated that this test was very reliable and could be accurately used to test whether or not a patient had the target SNP disease or not. This can be concluded because the Bayes statistical calculations indicate a high correlation between receiving a positive result and a positive conclusion. The results for calculation 1 fell between 70% and 80%, which meant that there is about ¾ probability of the patient having both a positive result and a positive conclusion of SNP disease. For calculation 2, it was in between 80% and 90%, which meant the probability of receiving a negative result with a negative conclusion was higher. The results for calculations 3 and 4 did imply reliability of the PCR predicting whether the patients will be developing a disease or not. For calculation 3, the results were range in between nearly 90%. One human error that could have happened was that there was too much light exposure while taking the pictures of the drops, due to forgetting to close the lightbox or not focusing the camera correctly. Another human error would be not having the light correctly align to the drop on the slide or missing part of the drop. A human error that might have occurred would also be not transferring the same amount of PCR products into all tubes for some there was a little less than others. Intro to Computer-Aided Design 3D Modeling The software that our team used to design our product was TinkerCAD. We found that it was much easier and simpler than SolidWorks. TinkerCAD has a simple menu, easy editing options, and preset shapes, which makes the software a lot more user-friendly than SolidWorks. It took less time to create our product using TinkerCAD than it would have if we were to use Solid Works. Not everyone has a lot of experience using SolidWorks, and it is a complicated software that can be frustrating to use. Another great thing about TinkerCAD is that it is free and it does not need to be downloaded, which made it easy for everyone in our lab group to work on the design. Our Design Our design is different from other designs in that it includes a built in camera instead of having to use a cell phone. Also, our product includes four slides instead of one. This allows the user to take pictures of multiple samples in one sitting and will decrease the amount of time using the machine. Feature 1: Consumables “Very important” consumables are items that must be included in the package in order for it to work properly. For example, in the fluorimeter that we used, a camera was not included in the package because a smartphone could be used, but a smartphone dock was included so the phone could be properly positioned. Some very important consumables that will be included in our package are the fluorometer slides, the standard micropipette, a box of spare pipette tips, SYBR I Green solution, the built-in camera, the light box, and a charger for the machine and camera. These have to be included for the user to be able to use the fluorometer system correctly. Feature 2: Hardware - PCR Machine & Fluorimeter PCR MACHINE No changes made to the system. FLUORIMETER: Include a built in camera with the new system so a smartphone/external camera is not necessary. The camera operates on a timer to take pictures at the correct time, which minimizes error and improves the quality of images. Add multiple slide racks so images can be taken of multiple (4) drops at a time. This includes horizontal viewing instead of vertical. This feature minimizes the number of trials to be performed and reduces waste. Each slide rack can be used for a total of four samples, like the previous slides. This means that 16 samples can be viewed and taken pictures of before the slides need to be replaced.