Difference between revisions of "Optical Microscopy: Part 3 Report Outline"

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           <li>Report the resolution you measured. Make sure to include N and a measure of uncertainty.</li>
 
           <li>Report the resolution you measured. Make sure to include N and a measure of uncertainty.</li>
 
           <li>Show sample Gaussian fits.</li>
 
           <li>Show sample Gaussian fits.</li>
           <li>Include a thorough discussion of error sources.</li>
+
           <li>Explain the Matlab algorithm used for data analysis.</li>
 
         </ul>
 
         </ul>
 
       <li>Discussion</li>
 
       <li>Discussion</li>
 
         <ul>
 
         <ul>
 
           <li>Compare the measured value to the theoretical value.</li>
 
           <li>Compare the measured value to the theoretical value.</li>
 +
          <li>Include a thorough discussion of error sources.</li>
 
         </ul>
 
         </ul>
 
     </ol>
 
     </ol>

Revision as of 16:03, 5 March 2014

  1. Resolution
    1. Procedure
      • Document the samples you used and how you captured images (camera settings, software used, etc…)
    2. Data
      • Include an image of the PSF sample with the beads used for resolution measurement indicated.
    3. Analysis and Results
      • Report the resolution you measured. Make sure to include N and a measure of uncertainty.
      • Show sample Gaussian fits.
      • Explain the Matlab algorithm used for data analysis.
    4. Discussion
      • Compare the measured value to the theoretical value.
      • Include a thorough discussion of error sources.
  2. Stability
    1. Procedure
      • Document the samples you used and how you captured images (camera settings, frame rate, total number of frames, exposure, software used, etc…)
    2. Data
      • Show an example frame from the stability movie.
      • Provide X-Y plots of difference tracks for pairs of fixed particles.
      • Plot MSD versus time interval τ for sum and difference tracks. Use a linear or logarithmic vertical axis so as to most clearly illustrate the relationship between the two datasets.
    3. Analysis and Results
      • Provide a bullet point outline of data analysis methodology.
      • Include a thorough discussion of error sources.
    4. Discussion
      • What are the benefits and drawbacks of differential tracking?