[ome-devel] optimised viewer for time laps data

[Kai Schleicher]

Hi,

In our facility we have a couple of users that store large time laps 
datasets in OMERO.
Viewing these, i.e. replaying and scrolling around in these tl files is 
however problematic when using the OMERO viewer, with several seconds 
long pauses when jumping between frames depending on the size of the 
images (e.g. ).

I did however notice that there are performance difference depending on 
the viewer that is used. Here I have tested the web-viewer, 
desctop-client-viewer and viewing the images in FIJI when fetched via 
the FIJI-OMERO-connector using virtual stack.

While the desktop-clients-viewer performs about 40% faster than the 
web-client, the FIJI-OMERO connector provided another increase of about 
40% in replay speed compared to the desktop-client.

While I am aware that these viewers are not meant to be optimal for 
tl-data, my tests make me wonder if it would be possible to write a 
simple viewer (e.g. in python) dedicated to only this task and optimise 
it for speed.
I apologise if this question is very naive (and I am also _not_ asking 
you to write a new viewer :)), but I was simply wondering if there is 
any potential improving the situation for our users by this approach.

Of course, if you happen to know other factors that also influence the 
speed at which tl data is replayed, e.g. the file format used, let me 
know and I'd be happy to try them outI'd be happy to know and try them out.

Thanks for your help and cheers,
Kai

-- 

>>Please note my NEW PHONE NUMBERS: +41 61 207 57 31 (direct) +41 61 207 22 50 (central)<<
Kai Schleicher, PhD | Research Associate in Advanced Light Microscopy | Biozentrum, University of Basel | Klingelbergstrasse 50/70 | CH-4056 Basel |
Phone: +41 61 207 57 31 (direct) +41 61 207 22 50 (central) | kai.schleicher at unibas.ch | www.biozentrum.unibas.ch | www.microscopynetwork.unibas.ch