Difference between revisions of "User:Z3399239"

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(Super-Resolution Microscopy Strategies in Cell Biology Using a Spinning Disk Microscope)
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===Super-Resolution Microscopy Strategies in Cell Biology Using a Spinning Disk Microscope===
 
===Super-Resolution Microscopy Strategies in Cell Biology Using a Spinning Disk Microscope===
  
Hosny N.A. ''et al.'' (2013) present a comparative study of super-resolution microscopy strategies using two methods of super-resolution microscopy; Photoactivation Light-Microscopy (PALM) and Stochastic Optical Reconstruction Microscopy (STORM), in conjunction with Spinning disk super-resolution imaging (SDSI)/Structured Illumination microscopy (SIM) and differing image analysis algorithms .  
+
Hosny N.A. ''et al.'' (2013) present a comparative study of super-resolution microscopy strategies using two methods of super-resolution microscopy; Photoactivation Light-Microscopy (PALM) and Stochastic Optical Reconstruction Microscopy (STORM), in conjunction with Spinning disk super-resolution imaging (SDSI) or Structured Illumination microscopy (SIM) and differing image analysis algorithms (RainSTORM, QuickPALM, GLRT, SOFI, 3B, Deconvolution-STORM (DeconSTORM), and Faster-STORM). Standard confocal microscopy has a resolution limit of 200nm, which has prevented further research into small molecular structures e.g. nuclear ultrastructure. Super-resolution microscopy has bypassed this resolution limit (described by Abbe's Law) and allowed for observation of structures as small as 30nm in size.  
  
obtained super-resolution images of multiple cellular features through use of a combination of Photoactivation Light-Microscopy (PALM) and Stochastic Optical Reconstruction Microscopy (STORM).
+
The study suggests that;
 +
1) Multi-spectral SDSI can collect super-resolution images with good signal-to-noise (S/N), resolved in any selected axial plane within a cell.
 +
2) PALM and STORM can both be used separately or in conjunction to produce super-resolution data.
 +
3) SOFI has the best retention of image intensity information and provides the most accurate data reconstruction, in terms of spatially assigning all of the emission data found in the original images.
 +
4) SIM was more appropriate for imaging 3D structures.  
 +
5) PALM/STORM SDSI could generate higher resolved data than SIM for single plane imaging dependent on the image processing algorithm used
  
 
====Reference====
 
====Reference====

Revision as of 12:53, 27 March 2014

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Lab 1

Cell Biology


Sodium Sulfate[1]


<pubmed limit=5>Sodium sulfate</pubmed>

References

  1. <pubmed>24604303</pubmed>

Individual Assessments

Lab 1

Bacillus Cell Membrane

Reference

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0027035

Copyright

Copyright: © 2011 Dempwolff et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

--Z3399239 (talk) 15:07, 20 March 2014 (EST)

Lab 2

Nuclear membrane.png

Image of Nuclear membranes

Reference

<pubmed>19165341</pubmed>

Copyright

© 2009 Garnier-Lhomme et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

--Z3399239 (talk) 19:04, 20 March 2014 (EST)

Super-Resolution Microscopy Strategies in Cell Biology Using a Spinning Disk Microscope

Hosny N.A. et al. (2013) present a comparative study of super-resolution microscopy strategies using two methods of super-resolution microscopy; Photoactivation Light-Microscopy (PALM) and Stochastic Optical Reconstruction Microscopy (STORM), in conjunction with Spinning disk super-resolution imaging (SDSI) or Structured Illumination microscopy (SIM) and differing image analysis algorithms (RainSTORM, QuickPALM, GLRT, SOFI, 3B, Deconvolution-STORM (DeconSTORM), and Faster-STORM). Standard confocal microscopy has a resolution limit of 200nm, which has prevented further research into small molecular structures e.g. nuclear ultrastructure. Super-resolution microscopy has bypassed this resolution limit (described by Abbe's Law) and allowed for observation of structures as small as 30nm in size.

The study suggests that; 1) Multi-spectral SDSI can collect super-resolution images with good signal-to-noise (S/N), resolved in any selected axial plane within a cell. 2) PALM and STORM can both be used separately or in conjunction to produce super-resolution data. 3) SOFI has the best retention of image intensity information and provides the most accurate data reconstruction, in terms of spatially assigning all of the emission data found in the original images. 4) SIM was more appropriate for imaging 3D structures. 5) PALM/STORM SDSI could generate higher resolved data than SIM for single plane imaging dependent on the image processing algorithm used

Reference

<pubmed>24130668</pubmed>

--Z3399239 (talk) 12:13, 27 March 2014 (EST)