Is deconvolution on 2D or 2D-time images possible?
Yes, specially for → Wide Field Microscopes (see that article to read why).
Still, there are some remarks to be made.
First, if you record an 2D image in a microscope it is really a slice from a 3D image. So what the Huygens Software does in this case is treat the data as a (severely) truncated 3D image, but still 3D. In deconvolving it Huygens attempts to reconstruct blur sources outside of the slice and with that it removes blur from the slice. This is all automatic, and it works also for Time Series.
The big catch is that Huygens cannot distinguish between an object which happens to look like blur and real blur: it will be removed in both cases.
As a rule the technique works well for filament like objects. With other objects you have to be careful.
Proper parameters
When doing 2D deconvolution of widefield images, set the Z Sample Size to the ideal Nyquist value. You can calculate this by using the Nyquist Calculator.
If you have a 2D time series, make sure Huygens interprets the series as such. Some File Formats having indexes in the file name are interpreted as 3D stacks by default: you may need to convert the dataset once opened from XYZ to XYT. See Convert The Data Set. Failing in doing so will produce a wrong deconvolution, as explained in this other FAQ.
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Keywords: 2D time "single slice"<br>
Categories: Faq Deconvolution, Faq Microscopy, Huygens Faq, Imported Faqs<br>
Platforms: Irix Linux Windows Mac AIX<br>
Related products: Hu Ess Hu Pro<br>
