[3dem] Workflow for TEM volumes containing noise in Amira?

[Pranav Shah]

Hi Charlotte,

In my (quite limited) experience, i have had some degree of success with:

1. Aggressively low-pass and smoothening the tomograms using imod’s clip
filter utility. In order to work out the right values, open up the tomogram
in 3dmod>image>process> filter. Tinker with the sliders until you are
satisfied and note the lp value and the roll-off. Pass those values onto
clip filter -l <lp cutoff>,<roll-off> inputTomo.rec outputTomo.rec

2. If you are comfortable with MATLAB, you can git clone dimitry tegunov’s
tom and tom_deconv packages and use his deconvolution script. He has
helpful note on how to use the script and is easy to follow.

If you are feeling up to it, install CryoCARE from florian jug’s lab to use
deep-learning for denoising tomograms. I have not tried it myself, but the
results look impressive and may aid in your segmentation routine.

Hope this helps,
Pranav

On Tue, 28 Apr 2020 at 11:54, Charlotte Hamngren <
charlotte.hamngren at gmail.com> wrote :

> Dear 3DEM community,
>
> I hope you are well!
>
> I am using Inspect3D together with Amira for the 3D visualisation of
> membrane structures inside the a cell: ER and Golgi, etc. My raw data is a
> TEM tilt series (room temperature) acquired with the FEI Tomography
> software. The membranes in the reconstructed volume (SIRT 20 iterations)
> are clearly visible by eye, but the reconstructed volume is quite noisy
> since the sample cannot be heavily contrasted. I would like to automate the
> visualisation process as much as possible before turning to manual
> segmentation as a last resort. The Volume rendering process in Amira
> suffers a lot from the noise, so I am looking for advice. Is it a waste of
> time to try to de-noise the volume?
>
> Is anyone else doing something similar? Can you suggest a usable workflow
> for working with TEM volumes containing noise in Amira (a publication or
> your own experience perhaps)?
>
> Stay safe,
> Charlotte
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> 3dem at ncmir.ucsd.edu
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>
-- 
Best,
Pranav
--
Pranav Shah
Postdoctoral Research Fellow.

Division of Structural Biology,
Wellcome Trust Centre for Human Genetics,
University of Oxford,
Roosevelt Drive, Oxford OX3 7BN,
UK
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