BME100 s2015:Group12 12pmL6

From OpenWetWare
Jump to: navigation, search
Owwnotebook icon.png BME 100 Spring 2015 Home
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
Wiki Editing Help
BME494 Asu logo.png


Name: Corey Soto
Name: Kyla Richardson
Name: Waseem Aljaid
Name: Syeda Rizvi
Name: William Chmielewski


Bayesian Statistics

Overview of the Original Diagnosis System

An assembly of 26 teams, each composing of around 5 to 6 research team members, were created. Each team was given two patients for data analysis, totaling 52 patients. The use of PCR allowed for the copying of DNA, ensuring that the research conducted was able to use the proper amounts of DNA needed. During the study, each sample collected from the patient was analyzed for SNP, or single nucleotide polymorphism. This was to determine whether each sample was suspectible to disease or if there was a lack of an affliction.

The use of the Bayesian equation was critical in providing the conclusions made from the study. It was apparent that some of the teams were unable to secure the data needed for analysis. Due to the high probability of data inaccuracy, the Bayesian method provided assistance in increasing credibility and reducing data ambiguity. One suggestion may be that the technical method of collecting the study's data (the fluorimeter setup, the ImageJ calibration, etc.) may have played a key role in the inconsistencies found during the research. To combat this problem, multiple images were taken of each sample (the standard was 3 per sample). This was done in case some of the images were of poorer quality and needed to be replaced with better representation of the samples.

What Bayes Statistics Imply about This Diagnostic Approach

The first two calculations accomplished with Bayesian analysis show how reliable the methods employed during the study were for determining which patient was susceptible to disease. The values for calculations 1 and 2 themselves were near the middle (0.5). Calculations 3 and 4 were of significantly lower value than Calculations 1 and 2. Calculation 3 was nearly approaching the value of 0.00, while calculation 4 was of greater magnitude but did not seem to approach the middle as closely as calculations 1 and 2 did. Based on these discoveries, the study's conclusions were hampered by data inaccuracy. There may be several reasons why this was the case. The research team believes the biggest contributing factor for such a wide range of disparity could be found in the fluorimeter setup. The smartphone & cradle used had to be positioned the exact same distance each time a sample was placed on the slide, which reduced mobility during the experiment. The camera also had to be calibrated a certain way, which may suggest some of the teams did not do that procedure. A second reason may be from the result of pictures taken that were of inferior quality. Data analysis conducted by using ImageJ required that the pictures be of the best quality possible. Blurry or poorly exposed images of each sample could have given way to possible errors when each sample was analyzed. Lastly, calculations through Excel may have been done incorrectly. Even though the process was relatively straightforward, human error is not dismissed as a possibility here.

Computer-Aided Design


TinkerCAD is a website that uses modeling software to built components. In the research team's collective opinion, TinkerCAD is basically an elementary version of Solidworks. The website was invaluable in providing a visual representation of designs. The team was tasked to create a new concept of how the PCR and fluorescence experiment can be set up and carried out. For the purposes of this assignment, the light box and cradle system for the fluorimeter setup were integrated for efficiency and simplicity. To show this, TinkerCAD provided the needed software and tools to show the changes made.

Our Design


This is the overview of the new light box design for the fluorimeter. There are cameras on each of the four sides that compose the light box. The front of the light box has an opening which allows the panel to be lifted up and down. This will allow the fluorimeter to be placed inside and allow for slides to be switched out. The cameras added to the light box eliminate the need for a smartphone/cradle construct.


This is the top view. The center is where the sample can placed on the slide via pipetter without having to open the front panel of the light box; the half-spherical cap can be lifted and closed during this process. The upper right corner is a built in timer for the cameras to take the images of the sample and can be adjusted through the use of the switch. The pictures can be taken instantly or set on a 3 second or 10 second delay. The red button will initiate the picture taking process. These changes were made to reduce the amount of interaction with the smartphone, as well as keeping the fluorimeter in place as much as possible.


This is the side where the USB port is located. Once the pictures are taken, they will be uploaded to a smartphone via USB cord where they will be stored on the SD card. The light box's camera settings can be changed manually through the smartphone via app and transmitted to the light box by USB cord.

Feature 1: Consumables Kit

  • Micropipetter with disposable micropipetter tips
  • Fluorimeter slides
  • Positive and negative controls
  • Calf Thymus solution of DNA
  • SYBR Green Dye
  • DNA primer mix
  • Buffer fluid
  • PCR reaction mix

This kit comes with the standard materials to accomplish a laboratory experiment regarding PCR. The research team who conducted this study believes that no changes are warranted for the kit. This is due to the fact that what was provided for the laboratory environment was sufficient in completing the research. The objective is to provide everything an experimental group will need all in one sitting.

Positive: The consumables kit was basic, cheap and completed the task it was set out to do. The pipetter was able to extract the fluids from each of the tubes without too much trouble. The pipetter came with disposable tips in order to reduce cross contamination of materials.

Downside: The individual tubes were tedious to open and close while wearing safety gloves. This ran the risk of spilling the individual tubes' fluid over the table in the laboratory. Labeling the tubes individually had to be done in order to determine which sample belonged to each tube. The labeling was done with a sharpie which could have been erased easily. The biological materials the study used had to be kept in a certain temperature and environment so as not to damage or ruin them.

Feature 2: Hardware - PCR Machine & Fluorimeter

Positive: PCR is relatively simple to do, does not seem to require special certification to accomplish properly. ImageJ software was versatile and useful in finding the necessary data for analysis.

Downside: It can take several hours for the OpenPCR machine to analyze a few samples. The fluorimeter setup was clumsy and easily susceptible to human error. Special care had to be made so as not to disturb the smartphone and its cradle. The light box's front panel could easily move the fluorimeter and cradle around when it closed off both components of the setup from excess light. The flourimeter's slides were a bit old fashioned in their removal and insertion into the device.

The research team believes that no real changes could be made to the OpenPCR machine. This is because the team was only exposed to the device for around twenty seconds of standard time. It is rather difficult to claim that a device needs to be changed if only a minute amount of effort was dedicated to observing and using it.

The new fluorimeter setup changes the light box and the smartphone/cradle construct by integrating both functions into one simple piece. The front panel is redesigned so that it slides up and down. This will reduce the chance that the fluorimeter will be moved around when switching out slides. As described by the image captions listed above, there are cameras on each side of the newly designed light box. When the smartphone is plugged into the light box via USB, the phone can alter the camera settings of the light box via app. In doing so, this will eliminate the need of opening and closing the light box in order to change settings or optimize pictures.