BME100 s2015:Group11 12pmL6: Difference between revisions

From OpenWetWare
Jump to navigationJump to search
 
(17 intermediate revisions by 2 users not shown)
Line 29: Line 29:
'''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). -->
 
There were 68 patients tested for the disease-associated SNP. 34 teams of 6 students each were assigned two patients to diagnose. Each patient provided two DNA samples to prevent error in the diagnosis. The samples were tested against a positive and negative control for the disease. Three images were taken for each sample to rule out error. The three photos for each sample were each measured in ImageJ and the numbers were averaged for each sample calculation. Inconclusive results and blank data were ruled out so that the Bayesian statistics for the entire group were accurate and valid.


'''What Bayes Statistics Imply about This Diagnostic Approach'''<br>
'''What Bayes Statistics Imply about This Diagnostic Approach'''<br>
Line 38: Line 38:
| align="center" style="background:#f0f0f0;"|'''Value'''
| align="center" style="background:#f0f0f0;"|'''Value'''
|-
|-
| A||frequency of cancer positive conclusion||xxxxx
| A||frequency of cancer positive conclusion||.375
|-
|-
| B||frequency of positive PCR reaction||xxxxx
| B||frequency of positive PCR reaction||.4375
|-
|-
| P(B/A)||frequency of positive PCR reaction for cancer positive conclusion||xxxxx
| P(B/A)||frequency of positive PCR reaction for cancer positive conclusion||.6667
|-
|-
| P(A/B)||probability cancer DNA sequence||xxxxx
| P(A/B)||probability cancer DNA sequence||.5714
|} <br>
|} <br>


Line 53: Line 53:
| align="center" style="background:#f0f0f0;"|'''Value'''
| align="center" style="background:#f0f0f0;"|'''Value'''
|-
|-
| A||frequency of cancer negative conclusion||xxxxx
| A||frequency of cancer negative conclusion||.625
|-
|-
| B||frequency of negative PCR reaction||xxxxx
| B||frequency of negative PCR reaction||.5625
|-
|-
| P(B/A)||frequency of negative PCR reaction for cancer negative conclusion||xxxxx
| P(B/A)||frequency of negative PCR reaction for cancer negative conclusion||.9
|-
|-
| P(A/B)||probability cancer DNA sequence||xxxxx
| P(A/B)||probability cancer DNA sequence||1
|} <br>
|} <br>


Line 68: Line 68:
| align="center" style="background:#f0f0f0;"|'''Value'''
| align="center" style="background:#f0f0f0;"|'''Value'''
|-
|-
| A||frequency of cancer yes diagnoses||xxxxx
| A||frequency of cancer yes diagnoses||.4375
|-
|-
| B||frequency of positive DNA test conclusion||xxxxx
| B||frequency of positive DNA test conclusion||.375
|-
|-
| P(B/A)||probability positive given cancer - yes||xxxxx
| P(B/A)||probability positive given cancer - yes||.6667
|-
|-
| P(A/B)||probability devolve cancer||xxxxx
| P(A/B)||probability devolve cancer||.778
|} <br>
|} <br>


Line 83: Line 83:
| align="center" style="background:#f0f0f0;"|'''Value'''
| align="center" style="background:#f0f0f0;"|'''Value'''
|-
|-
| A||frequency of cancer no diagnoses||xxxxx
| A||frequency of cancer no diagnoses||.5625
|-
|-
| B||frequency of negative DNA test conclusion||xxxxx
| B||frequency of negative DNA test conclusion||.625
|-
|-
| P(B/A)||probability negative given cancer - no||xxxxx
| P(B/A)||probability negative given cancer - no||.9
|-
|-
| P(A/B)||probability not devolve cancer||xxxxx
| P(A/B)||probability not devolve cancer||.81
|} <br>
|} <br>


Line 96: Line 96:


<!-- Instruction 1: In your own words, discuss what the results for calculations 3 and 4 imply about the reliability of PCR for *predicting the development disease* (referred to as "diagnosis"). Please do NOT type the actual numerical values here. Just refer to the Bayes values as being "close to 1.00 (100%)" or "very small."  -->
<!-- Instruction 1: In your own words, discuss what the results for calculations 3 and 4 imply about the reliability of PCR for *predicting the development disease* (referred to as "diagnosis"). Please do NOT type the actual numerical values here. Just refer to the Bayes values as being "close to 1.00 (100%)" or "very small."  -->
Calculations 1 and 2 were proven reliable as the number was close to .5. The PCR replicates were reliable for a correct diagnosis of the disease SNP being present or not.
Calculations 3 and 4 were closer to 1 and proved that the ability for PCR to predict the diagnosis is low because of the high calculations.
Many errors could have occurred during these PCR and detection steps. The students could have mixed up the PCR samples to get an incorrect result. The students could have added the wrong amount of PRC solution during the PCR step or the SYBR Green during the imaging step. The students could have also mixed up the order of the images when analyzing them in ImageJ.


==Computer-Aided Design==
==Computer-Aided Design==
Line 106: Line 111:


<!-- Instructions: Show an image of your TinkerCAD design here -->
<!-- Instructions: Show an image of your TinkerCAD design here -->
[[Image:FluorometerSlide1.JPG|500px|thumb|PolymerEase Self-Cleaning Fluorimeter Slide]] <br>
The improved fluorimeter slide tackles the problematic cleaning of previously used test samples. Rather than using a pipettor which may fail to collect the entire volume of waste fluid from the slide and possibly leave residue that may interfere with the placement of future samples due to the cohesiveness of water, this fluorimeter slide is coated in a highly hydrophobic coating that will deter any liquid from remaining on its surface. The circular indentations will assist in keeping samples in place during testing. Afterwards, clean-up is a breeze with the simple tilting mechanism that easily disposes of any liquid on the slide into a conveniently positioned and removable waste collection container. <br>
[[Image:BMETinkerCad.png‎|thumb|frame|left|PolymerEase Self-Cleaning Fluorimeter Handle]] 


<!-- Instructions: Under the image, write a short paragraph describing your design. Why did you choose this design? How is it different from the original OpenPCR design? --><br>
<!-- Instructions: Under the image, write a short paragraph describing your design. Why did you choose this design? How is it different from the original OpenPCR design? --><br>




<br>
<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>


=Part 1=
=Part 1=
Line 139: Line 150:
| align="center" style="background:#f0f0f0;"|'''Place'''
| align="center" style="background:#f0f0f0;"|'''Place'''
|-
|-
| efficient easy to use Fluorimeter||Fluorimeter cleans itself||Bio-Chemist and Dairy market||stuff||online
| Efficient easy to use fluorimeter||Fluorimeter cleans itself||Bio-Chemical and Dairy market||Making your life easier, it's in our DNA||Online website
|} <br>
|} <br>


Line 145: Line 156:
==Feature 1: Consumables Kit==
==Feature 1: Consumables Kit==
<!-- Instruction 1: Summarize how the consumables (liquid reagents and small plastics) will be packaged in your kit. You may add a schematic image. An image is OPTIONAL and will not get bonus points, but it will make your report look awesome and easy to score. -->
<!-- Instruction 1: Summarize how the consumables (liquid reagents and small plastics) will be packaged in your kit. You may add a schematic image. An image is OPTIONAL and will not get bonus points, but it will make your report look awesome and easy to score. -->
The consumable portions of the kit will be separated between the disposable plastics and pipettor, and the liquid reagents. Sterile pipettor tips will be kept in their own closed containers to prevent contamination from contacting any other materials. The same will be done to any unused test tubes. The pipettor will be kept on a rack to enhance organization and keep track of kit materials. The liquid reagents, such as the PCR DNA samples and PCR products, will be packaged separately in a refrigerated rack in order to prevent their degradation. Dyes such as SYBR Green will also be packaged here.


<!-- Instruction 2: IF your consumables packaging plan addresses any major weakness(es), explain how in an additional paragraph. -->
<!-- Instruction 2: IF your consumables packaging plan addresses any major weakness(es), explain how in an additional paragraph. -->
Line 154: Line 167:




'''PCR Machine'''


'''Fluorimeter'''<br>
The fluorimeter's slide will be hydrophobic. Once the camera is done taking the picture the slide will move up at an angle in order for the drop to travel off the slide. This fix will have the fluorimeter clean itself after each trial. <br>


'''Fluorimeter'''<br>
The flourimeter will have a handle on the side that will tilt the slide back so that the drop of PCR mixture rolls off and does not have to be removed with a micropipettor. This will speed up the PCR imaging process.
The fluormieter's slide will be hydrophobic. Once the camera is done taking the picture the slide will move up at an angle in order for the drop to travel off the slide. This fix will have the fluorimeter clean itself after each trial.  


<!-- Do not edit below this line -->
<!-- Do not edit below this line -->
|}
|}

Latest revision as of 00:15, 29 April 2015

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


OUR COMPANY

Miranda Kaml
Framarz Alam
Joe Florio
Name: student
Name: student


LAB 6 WRITE-UP

Bayesian Statistics

Overview of the Original Diagnosis System There were 68 patients tested for the disease-associated SNP. 34 teams of 6 students each were assigned two patients to diagnose. Each patient provided two DNA samples to prevent error in the diagnosis. The samples were tested against a positive and negative control for the disease. Three images were taken for each sample to rule out error. The three photos for each sample were each measured in ImageJ and the numbers were averaged for each sample calculation. Inconclusive results and blank data were ruled out so that the Bayesian statistics for the entire group were accurate and valid.

What Bayes Statistics Imply about This Diagnostic Approach
Calculation 1

Variable Description Value
A frequency of cancer positive conclusion .375
B frequency of positive PCR reaction .4375
P(B/A) frequency of positive PCR reaction for cancer positive conclusion .6667
P(A/B) probability cancer DNA sequence .5714

Calculation 2

Variable Description Value
A frequency of cancer negative conclusion .625
B frequency of negative PCR reaction .5625
P(B/A) frequency of negative PCR reaction for cancer negative conclusion .9
P(A/B) probability cancer DNA sequence 1

Calculation 3

Variable Description Value
A frequency of cancer yes diagnoses .4375
B frequency of positive DNA test conclusion .375
P(B/A) probability positive given cancer - yes .6667
P(A/B) probability devolve cancer .778

Calculation 4

Variable Description Value
A frequency of cancer no diagnoses .5625
B frequency of negative DNA test conclusion .625
P(B/A) probability negative given cancer - no .9
P(A/B) probability not devolve cancer .81



Calculations 1 and 2 were proven reliable as the number was close to .5. The PCR replicates were reliable for a correct diagnosis of the disease SNP being present or not. Calculations 3 and 4 were closer to 1 and proved that the ability for PCR to predict the diagnosis is low because of the high calculations. Many errors could have occurred during these PCR and detection steps. The students could have mixed up the PCR samples to get an incorrect result. The students could have added the wrong amount of PRC solution during the PCR step or the SYBR Green during the imaging step. The students could have also mixed up the order of the images when analyzing them in ImageJ.

Computer-Aided Design

TinkerCAD


Our Design


PolymerEase Self-Cleaning Fluorimeter Slide

The improved fluorimeter slide tackles the problematic cleaning of previously used test samples. Rather than using a pipettor which may fail to collect the entire volume of waste fluid from the slide and possibly leave residue that may interfere with the placement of future samples due to the cohesiveness of water, this fluorimeter slide is coated in a highly hydrophobic coating that will deter any liquid from remaining on its surface. The circular indentations will assist in keeping samples in place during testing. Afterwards, clean-up is a breeze with the simple tilting mechanism that easily disposes of any liquid on the slide into a conveniently positioned and removable waste collection container.

PolymerEase Self-Cleaning Fluorimeter Handle
























Part 1

Assess the original design

Consumables Open PCR Fluorimeter system
Strength Pipettor-cheap Portable and small Compatible with multiple phone types and cheap
Weakness Pipettor-disposable tips Reaction time Drops of PCR solution can leave residue on slides

Part 2

Design a new system

Our Brand Name:

PolymerEase

Branding Positioning Target Markets Messaging Place
Efficient easy to use fluorimeter Fluorimeter cleans itself Bio-Chemical and Dairy market Making your life easier, it's in our DNA Online website


Feature 1: Consumables Kit

The consumable portions of the kit will be separated between the disposable plastics and pipettor, and the liquid reagents. Sterile pipettor tips will be kept in their own closed containers to prevent contamination from contacting any other materials. The same will be done to any unused test tubes. The pipettor will be kept on a rack to enhance organization and keep track of kit materials. The liquid reagents, such as the PCR DNA samples and PCR products, will be packaged separately in a refrigerated rack in order to prevent their degradation. Dyes such as SYBR Green will also be packaged here.


Feature 2: Hardware - PCR Machine & Fluorimeter

Fluorimeter
The fluorimeter's slide will be hydrophobic. Once the camera is done taking the picture the slide will move up at an angle in order for the drop to travel off the slide. This fix will have the fluorimeter clean itself after each trial.

The flourimeter will have a handle on the side that will tilt the slide back so that the drop of PCR mixture rolls off and does not have to be removed with a micropipettor. This will speed up the PCR imaging process.