BME100 f2014:Group16 L6

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BME 100 Fall 2014 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

Name: Christopher Saar
Protocol editer
Name: Gurpaul Sidhu
Role(s): Wiki editor, researcher
Picture Source:www. shadyrecords.com/wp-content/uploads/2013/01/royce.jpg
Name:Emily Angeles Mancinas
Name: Sheania Morgan
image source: http://www.fandango.com/movie-photos/disney-takes-flight-from-dumbo-to-planes-886
Name: Leslie Bernardino
Role: observer, recorder
image source:https://bassetthounds.wordpress.com/tag/basset-hounds/
Name: Romann Arizmendi


LAB 6 WRITE-UP

Bayesian Statistics

Overview of the Original Diagnosis System

A The division of Labor
The PCR project was divided into wet-lab, lab procedure and data reclamation. These data point were labeled and sent to data analysis through ImageJ which was run at least 2 times for every data point. All data point were imported into excel for complete calculation and statistical analysis. The group was split three groups of two, wet lab and photo collection was acquired where three photos were collected for every data trial. All data trials were sent to the second group where ImageJ calculations were run twice and imported into excel. The third group was tasked to import the data into OpenWetWare and wiki coded to accurately and quick translate qualitative and quantitative data into tables and charts.


B Error Prevention
Error reduction was prevented through the acquisition of multiple data point for every trial which helped to eliminated outliers and data variance which could misdirect calculations. For all trials for both patients strict pipette protocols were practiced to reduce contamination errors, each trial was recorded by photo three times to establish a better data reference. Once an image was taken the ImageJ program was run twice for one data set to help further smooth data and reduce outlier data.


C PCR Results for the Class



What Bayes Statistics Imply about This Diagnostic Approach


Based upon the result of calculation 1 was extremely close to 100% which means that the PCR replicates are effective at concluding that a person has a disease SNP. Similarly, `the result of calculation 2 was also relatively high which means that if someone did not have the disease SNP the PCR replicates were efficacious in its conclusions. The first source of error was due to the fact that it was difficult to focus the camera which led to a certain degree of blurriness in the pictures. The second source of error was that there was no way to completely prevent light from entering the photo apparatus. The final error could have occurred due to the fact that he PCR reaction went past class time and therefore the DNA samples were forced to sit for an entire week.


The numerical value of calculation 3 was very low which means that the PCR is not effective at diagnosing or predicting the development of the disease. The same can be said about calculation 4 even though the value was slightly higher. The numerical value was not high enough for it to be claimed that the PCR reaction was effective at diagnosing the disease.||

Computer-Aided Design

TinkerCAD


Our Design

TINKERCAD 1 TINKERCAD 2
TINKER CAD
TINKER CAD
This design is an improvement of the orginal PCR design because it is larger and therefore can accommodate larger numbers of samples at one time. It is also equipped with a button that allows for real time manipulation of the PCR process.




Feature 2: Consumables Kit

Feature 3: Hardware - PCR Machine & Fluorimeter