Thanks Elaine - maybe that will work... calculating a local correlation value between the first and last frame and then coloring all frames by volume data value. Will give it a go!
Cheers
Oli
On Nov 23, 2021, at 11:33 AM, Elaine Meng <meng@cgl.ucsf.edu> wrote:
Hi Oli,
Not to my knowledge... The closest thing I can think of is ChimeraX "volume localCorrelation" (or in Chimera, "vop localCorrelation"), which compares two maps, and probably just opened as separate datasets rather than as part of a series:
<https://rbvi.ucsf.edu/chimerax/docs/user/commands/volume.html#localCorrelation>
ChimeraX has a "vseries measure" command but it gives centroids, surface areas, and enclosed volumes for the individual maps rather than any collective measures of variability.
<https://rbvi.ucsf.edu/chimerax/docs/user/commands/vseries.html#measure>
Best,
Elaine
-----
Elaine C. Meng, Ph.D.
UCSF Chimera(X) team
Department of Pharmaceutical Chemistry
University of California, San Francisco
On Nov 23, 2021, at 8:13 AM, Oliver Clarke via ChimeraX-users <chimerax-users@cgl.ucsf.edu> wrote:
Hi all,
Is there any way in either Chimera or X to calculate the per voxel variance of a volume series, and then use that to color the individual voxels in each frame?
When one has a series of volumes showing a subtle conformational change - lets say identified using cryoDRGN or 3D variability analysis in cryoSPARC - it would be nice to be able to visually highlight on the map the region that is changing the most, in some kind of quantitatively sound way.
Often local changes are visually apparent when looking at the maps and rotating them around, but don't necessarily stand out in a movie of the whole volume.
Coloring the series of maps (which are all on the same grid) by the variance of the density value at each voxel might be one way to visualize this. Is this possible?
Cheers
Oli
_______________________________________________
Chimera-users mailing list:
Chimera-users@cgl.ucsf.eduManage subscription:
https://www.rbvi.ucsf.edu/mailman/listinfo/chimera-users