BME103 s2013:TEMPwu3

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(New System: Design Strategy)
(New System: Machine/ Device Engineering)
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'''We chose to include these new features'''
'''We chose to include these new features'''
* Feature 1 - explanation of how this addresses any of the the Must Have/ Must Not Have items in the  
* Feature 1 - explanation of how this addresses any of the the Must Have/ Must Not Have items in the  
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* Feature 2 - description * Etc.
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* Feature 2 - description  
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'''We chose keep the devices the same as the original system'''<br>
'''We chose keep the devices the same as the original system'''<br>
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[Short paragraph explaining why the original system satisfies the design needs that you listed above]
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[Short paragraph explaining why the original system satisfies the design needs that you listed in the ### section]
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'''DESIGN APPROACH'''
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'''SYSTEM DESIGN'''
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<!-- If your goal does not require any changes in the machinery/ devices, include labeled images of the OpenPCR machine and the Fluorimeter. Write a short paragraph that summarizes what each one of the machines does -->

Revision as of 20:28, 9 April 2013

BME 103 Spring 2013 Home
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Lab Write-Up 1
Lab Write-Up 2
Lab Write-Up 3
Course Logistics For Instructors
Photos
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Image:BME494_Asu_logo.png

Contents

OUR TEAM

Name: StudentRole(s)
Name: Student
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Name: Student
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Name: Student
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LAB 3 WRITE-UP

Original System: PCR Results

PCR Test Results

Sample Name ng/mL Conclusion (pos/neg)
Positive Control --- N/A
Negative Control --- N/A
Tube Label:___ Patient ID: ____ rep 1 ---
Tube Label:___ Patient ID: ____ rep 2 ---
Tube Label:___ Patient ID: ____ rep 3 ---
Tube Label:___ Patient ID: ____ rep 1 ---
Tube Label:___ Patient ID: ____ rep 2 ---
Tube Label:___ Patient ID: ____ rep 3 ---


Bayesian Statistics
These statistics are based upon all of the DNA detection system results that were obtained in the PCR lab for 34 hypothetical patients who were diagnosed as either having cancer or not having cancer.

Bayes Theorem equation: P(A|B) = P(B|A) * P(A) / P(B)


Calculation 1: The probability that the sample actually has the cancer DNA sequence, given a positive diagnostic signal.

  • A = [text description] = [frequency shown as a fraction] = [final numerical value]
  • B = [text description] = [frequency shown as a fraction] = [final numerical value]
  • P (B|A) = [text description] = [frequency shown as a fraction] = [final numerical value]
  • P(A|B) = [answer]



Calculation 3: The probability that the patient will develop cancer, given a cancer DNA sequence.

  • A = [text description] = [frequency shown as a fraction] = [final numerical value]
  • B = [text description] = [frequency shown as a fraction] = [final numerical value]
  • P (B|A) = [text description] = [frequency shown as a fraction] = [final numerical value]
  • P(A|B) = [answer]



New System: Design Strategy

We concluded that a good system Must Have:

  • [Must have #1 - why? short, ~4 or 5 sentences]
  • [Must have #2 - why? short, ~4 or 5 sentences]


We concluded that we would Want a good system to have:

  • [Want #1 - why? short, ~4 or 5 sentences]
  • [Want #2 - why? short, ~4 or 5 sentences]


We concluded that a good system Must Not Have:

  • [Must Not Have #1 - why? short, ~4 or 5 sentences]
  • [Must Not Have #2 - why? short, ~4 or 5 sentences]


We concluded that a good system Should Avoid:

  • [Should Avoid #1 - why? short, ~4 or 5 sentences]
  • [Should Avoid #2 - why? short, ~4 or 5 sentences]




New System: Machine/ Device Engineering

DESIGN STRATEGY


We chose to include these new features

  • Feature 1 - explanation of how this addresses any of the the Must Have/ Must Not Have items in the
  • Feature 2 - description
  • Etc.


[OR]


We chose keep the devices the same as the original system
[Short paragraph explaining why the original system satisfies the design needs that you listed in the ### section]


SYSTEM DESIGN


Instructions





Protocols

Materials


PCR Protocol



DNA Measurement Protocol



Research and Development

Background on Disease Markers



Primer Design



Illustration




Personal tools