Difference between revisions of "Assignment 5, Part 1: viscosity and diffusivity in glycerol-water mixtures"

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(Estimating the diffusion coefficient by tracking suspended microspheres)
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:''Tip 2'': Limit the ROI to a region with only 3 or 4 particles. Long movies with the whole field of view is a sure way to make MATLAB complain.
 
:''Tip 2'': Limit the ROI to a region with only 3 or 4 particles. Long movies with the whole field of view is a sure way to make MATLAB complain.
  
2. Estimate the diffusion coefficient of these samples: MSD = <math>\left \langle {\left | \vec r(t+\tau)-\vec r(t) \right \vert}^2 \right \rangle=2Dd\tau</math>, where <i>r</i>(<i>t</i>) = position, <i>d</i> = number of dimensions, <i>D</i> = diffusion coefficient, and <math>\tau</math>= time interval. <br>
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2. Record movies of beads diffusing in the two glycerol solutions and use your newly developed code to estimate the diffusion coefficient of each sample.
 
:* '''Consider how many particles you should track and for how long. What is the uncertainty in your estimate?'''
 
:* '''Consider how many particles you should track and for how long. What is the uncertainty in your estimate?'''
:* From the viscosity calculation, estimate the glycerin/water weight ratio. (This [http://profs.engineering.uottawa.ca/biofluid/files/2011/08/viscosity-of-aqueous-glycerine-solutions.pdf chart] is a useful reference.)
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:* Calculate the viscosity of the solution and estimate the glycerin/water weight ratio of each solution. (Hint: what is the relationship between diffusion coefficient and viscosity? You may find that this [http://profs.engineering.uottawa.ca/biofluid/files/2011/08/viscosity-of-aqueous-glycerine-solutions.pdf chart] is a useful reference.)
  
 
{{Template:Assignment Turn In|message=Turn in for the viscosity part:
 
{{Template:Assignment Turn In|message=Turn in for the viscosity part:
# Procedure
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# Include a snapshot of the 0.84 &mu;m fluorescent beads monitored.
#* Document the samples you prepared and used and how you captured images (camera settings including frame acquisition rate, number of frames, number of particles in the region of interest, choice of sample plane, etc)
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# Document the samples you prepared and how you captured images (camera settings including frame acquisition rate, number of frames, number of particles in the region of interest, choice of sample plane, etc)
# Data
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# Plot two or more example bead trajectories for each of the glycerin samples. (Hint: If you subtract the initial position from each trajectory, then you can plot multiple trajectories on a single set of axes.)
#* Include a snapshot of the 0.84 &mu;m fluorescent beads monitored.
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# Plot the average MSD vs &tau; results for the two glycerin samples (A and B); use log-log axes. Use the minimum number of axes that can convey your results clearly.
#* Plot two or more example bead trajectories for each of the glycerin samples. (Hint: If you subtract the initial position from each trajectory, then you can plot multiple trajectories on a single set of axes.)
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# Include a table of the diffusion coefficient, viscosity and glycerin/water ratio for each of the samples (A and B)
# Analysis and Results
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# How do your viscosity calculations compare to your expectations? (This [http://profs.engineering.uottawa.ca/biofluid/files/2011/08/viscosity-of-aqueous-glycerine-solutions.pdf chart] is a useful reference.)
#* Plot the average MSD vs &tau; results for the two glycerin samples (A and B); use log-log axes. Use the minimum number of axes that can convey your results clearly.
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# Include a thorough discussion of error sources and your approaches to minimize them. It may be helpful to list out the error sources in a table, including a category for the error source, type of error (random, systematic, fundamental, technical, etc.), the magnitude of the error, and a description and way to minimize each one.
#* Include a table of the diffusion coefficient, viscosity and glycerin/water ratio for each of the samples (A and B)
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#* Provide a bullet point outline of all calculations and data processing steps.
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# Discussion
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#* How do your viscosity calculations compare to your expectations? (This [http://profs.engineering.uottawa.ca/biofluid/files/2011/08/viscosity-of-aqueous-glycerine-solutions.pdf chart] is a useful reference.)
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#* Include a thorough discussion of error sources and the approaches to minimize them. It may be helpful to list out the error sources in a table, including a category for the error source, type of error (random, systematic, fundamental, technical, etc.), the magnitude of the error, and a description and way to minimize each one.
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Revision as of 18:52, 13 September 2018

20.309: Biological Instrumentation and Measurement

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This is Part 1 of Assignment 5.

Estimating the diffusion coefficient by tracking suspended microspheres

Imaging chamber for fluorescent microspheres diffusing in water:glycerol mixtures

1. Track some 0.84μm Nile Red Spherotech polystyrene beads in water-glycerin mixtures (Samples A and B contain 30% and 50% glycerin, respectively).

Notes: Fluorescent microspheres have been mixed for you by the instructors into water-glycerin solutions A and B. (a) Vortex the stock Falcon tube, and then (b) transfer the bead suspension into its imaging chamber (consisting of a microscope slide, double-sided tape delimiting a 2-mm channel, and a 22mm x 40mm No. 1.5 coverslip, and sealed at both ends nail polish).
Tip 1: Do not choose to monitor particles that remain stably in focus: these are likely to be 'sitting on the coverslip' and their motion will not be representative of diffusion in the viscous water-glycerol fluid.
Tip 2: Limit the ROI to a region with only 3 or 4 particles. Long movies with the whole field of view is a sure way to make MATLAB complain.

2. Record movies of beads diffusing in the two glycerol solutions and use your newly developed code to estimate the diffusion coefficient of each sample.

  • Consider how many particles you should track and for how long. What is the uncertainty in your estimate?
  • Calculate the viscosity of the solution and estimate the glycerin/water weight ratio of each solution. (Hint: what is the relationship between diffusion coefficient and viscosity? You may find that this chart is a useful reference.)


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Turn in for the viscosity part:

  1. Include a snapshot of the 0.84 μm fluorescent beads monitored.
  2. Document the samples you prepared and how you captured images (camera settings including frame acquisition rate, number of frames, number of particles in the region of interest, choice of sample plane, etc)
  3. Plot two or more example bead trajectories for each of the glycerin samples. (Hint: If you subtract the initial position from each trajectory, then you can plot multiple trajectories on a single set of axes.)
  4. Plot the average MSD vs τ results for the two glycerin samples (A and B); use log-log axes. Use the minimum number of axes that can convey your results clearly.
  5. Include a table of the diffusion coefficient, viscosity and glycerin/water ratio for each of the samples (A and B)
  6. How do your viscosity calculations compare to your expectations? (This chart is a useful reference.)
  7. Include a thorough discussion of error sources and your approaches to minimize them. It may be helpful to list out the error sources in a table, including a category for the error source, type of error (random, systematic, fundamental, technical, etc.), the magnitude of the error, and a description and way to minimize each one.


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