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help > RE: BrainAligner : displacement field
Aug 9, 2011 12:08 AM | Hanchuan Peng
RE: BrainAligner : displacement field
I have just updated the brainaligner
website again, and fixed the bug of displacement file
generation.
Note that the produced displacement files are 32bit folat, and I saved them as V3D's raw format (.v3draw). You can drag and drop into V3D to see them.
You can use V3D's matlab file IO toolbox to load these files as well. Then you can save them again in any of your favorite formats.
But the V3D's raw format is very simple, just a simple header with dimensions (x,y,z), datatype, endian info, etc. The source code is in V3aD svn respository, subfolder "v3d_main/basic_c_fun/stackutil.cpp".
hope these help.
-hanchuan
Originally posted by Thomas Templier:
Note that the produced displacement files are 32bit folat, and I saved them as V3D's raw format (.v3draw). You can drag and drop into V3D to see them.
You can use V3D's matlab file IO toolbox to load these files as well. Then you can save them again in any of your favorite formats.
But the V3D's raw format is very simple, just a simple header with dimensions (x,y,z), datatype, endian info, etc. The source code is in V3aD svn respository, subfolder "v3d_main/basic_c_fun/stackutil.cpp".
hope these help.
-hanchuan
Originally posted by Thomas Templier:
Thanks for the quick answer. I would be very
happy to have this transformation field.
On one of my channels, I have an anti-betagalactosidase staining against lacZ that allows me to see hit nuclei in Gal4 lines. I want to detect them and process them in the reference brain.
My idea is to detect these dots on the original image and not on the warped image, because the image quality is worse (clusters of nuclei look already blurry in some places in the original image). Then I would like to compute the new locations and sizes of the nuclei, based on the locations on the original image and the DF.
So I just need the DF as output, not as input. I will apply the DF to a kind of binary datas (the list of detected dots)
The DF only for the warping transformation should be enough. The affine transformation does not change the nuclei so much. I could run my nuclei detector on the global aligned images.
If it takes too much time to update the whole site, don't hesitate to email me an updated version.
Thank you very much.
Thomas
On one of my channels, I have an anti-betagalactosidase staining against lacZ that allows me to see hit nuclei in Gal4 lines. I want to detect them and process them in the reference brain.
My idea is to detect these dots on the original image and not on the warped image, because the image quality is worse (clusters of nuclei look already blurry in some places in the original image). Then I would like to compute the new locations and sizes of the nuclei, based on the locations on the original image and the DF.
So I just need the DF as output, not as input. I will apply the DF to a kind of binary datas (the list of detected dots)
The DF only for the warping transformation should be enough. The affine transformation does not change the nuclei so much. I could run my nuclei detector on the global aligned images.
If it takes too much time to update the whole site, don't hesitate to email me an updated version.
Thank you very much.
Thomas
Threaded View
| Title | Author | Date |
|---|---|---|
| Thomas Templier | Jul 10, 2011 | |
| Hanchuan Peng | Jul 11, 2011 | |
| Thomas Templier | Jul 12, 2011 | |
| Hanchuan Peng | Jul 13, 2011 | |
| Thomas Templier | Aug 5, 2011 | |
| Hanchuan Peng | Aug 6, 2011 | |
| Thomas Templier | Aug 8, 2011 | |
| Hanchuan Peng | Aug 8, 2011 | |
| Thomas Templier | Aug 8, 2011 | |
| Hanchuan Peng | Aug 9, 2011 | |
| Thomas Templier | Aug 9, 2011 | |
