BME100 f2014:Group18 L6: Difference between revisions

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'''Overview of the Original Diagnosis System'''
'''Overview of the Original Diagnosis System'''
<!-- Instructions: Write a medium-length summary (~10 - 20 sentences) of how BME100 tested patients for the disease-associated SNP. Describe (A) the division of labor (e.g., 34 teams of 6 students each diagnosed 68 patients total...), (B) things that were done to prevent error, such as the number of replicates per patient, PCR controls, ImageJ calibration controls, and the number of drop images that were used for the ImageJ calculations (per unique PCR sample), and (C) the class's final data from the BME100_fa2014_PCRResults spreadsheet (successful conclusions, inconclusive results, blank data). -->
<!-- Instructions: Write a medium-length summary (~10 - 20 sentences) of how BME100 tested patients for the disease-associated SNP. Describe (A) the division of labor (e.g., 34 teams of 6 students each diagnosed 68 patients total...), (B) things that were done to prevent error, such as the number of replicates per patient, PCR controls, ImageJ calibration controls, and the number of drop images that were used for the ImageJ calculations (per unique PCR sample), and (C) the class's final data from the BME100_fa2014_PCRResults spreadsheet (successful conclusions, inconclusive results, blank data). -->
Each group in the BME 100 class was given two patients and were instructed to test the patients for the disease-associated SNP. The total laboratory consisted of 34 teams total comprised of 6 students, each team was assigned two patients. In total there were 68 patients being tested for the disease.   
<br> Each group in the BME 100 class was given two patients and were instructed to test the patients for the disease-associated SNP. The total laboratory consisted of 34 teams total comprised of 6 students, each team was assigned two patients. In total there were 68 patients being tested for the disease.  Originally, while testing the droplets of DNA with the fluorimeter, each testing sample had three pictures taken under the light of the fluorimeter. These images were then grouped, analyzed, and the data was then average, in hopes to find the most accurate data for each specific sample. Each patient had a three replicants of their DNA tested for the disease, this datas mean was then taken, therefore continuously potentially limiting error. The BME 100 class data was comprised in a master spreadsheet that included all of the teams work. Some groups data had successfully concluded their sample data, while others received inconclusive results, or left their information blank. Possible sources of error arise from the multitude of teams in the BME 100 class, because there were 34 teams, there were 34 different ways on doing the lab, therefore the data would not have been received in the exact same manner every time.


'''What Bayes Statistics Imply about This Diagnostic Approach'''
'''What Bayes Statistics Imply about This Diagnostic Approach'''

Revision as of 17:52, 24 November 2014

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OUR COMPANY

Name: Norah Alkhamis
Name: Jesus Calderon
Name: Kevin Couch
Name: Jordan Kariniemi
Name: Scott Slade
Name: Rachel Tomlinson


LAB 6 WRITE-UP

Bayesian Statistics

Overview of the Original Diagnosis System
Each group in the BME 100 class was given two patients and were instructed to test the patients for the disease-associated SNP. The total laboratory consisted of 34 teams total comprised of 6 students, each team was assigned two patients. In total there were 68 patients being tested for the disease. Originally, while testing the droplets of DNA with the fluorimeter, each testing sample had three pictures taken under the light of the fluorimeter. These images were then grouped, analyzed, and the data was then average, in hopes to find the most accurate data for each specific sample. Each patient had a three replicants of their DNA tested for the disease, this datas mean was then taken, therefore continuously potentially limiting error. The BME 100 class data was comprised in a master spreadsheet that included all of the teams work. Some groups data had successfully concluded their sample data, while others received inconclusive results, or left their information blank. Possible sources of error arise from the multitude of teams in the BME 100 class, because there were 34 teams, there were 34 different ways on doing the lab, therefore the data would not have been received in the exact same manner every time.

What Bayes Statistics Imply about This Diagnostic Approach


Description of image Description of image Description of image Description of image

Computer-Aided Design

TinkerCAD


Our Design

Description of image

We added a cooling element to the Open PCR machine. The process of PCR calls for a cooling stage, this added element allows for the test tube samples to reach the cool temperature more efficiently. Therefore, reducing the total time required for the PCR reaction.


Feature 2: Consumables Kit

We will hold the SYBR Green 1 in light blocking packaging which would replace the original tin foil used in the lab. The packaging would also be water proof to protect from cross contamination. The buffers needed to be sterile to ensure the cleanliness and accuracy of the lab. The packaging for the micropippeor tips could be cut in half that way they could all be used in one sitting for the lab and that would allow for the most sterile process.

Feature 3: Hardware - PCR Machine & Fluorimeter

For the fluorimeter we would include an adjustable camera holder that will allow for varying heights to have the camera flush with the side of the machine. We would also change the folding lid of the fluorimeter that way it allow for complete darkness, but still allow for a clear image.