Project INF supports the other projects of SFB/Transregio 161 by providing a central approach to data management and an infrastructure for virtual meetings in a large, high-resolution display scenario.
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Adobe PDF - 56.7 KB - MD5: 30eb4d3cc627fc675c44c25690412270
Steps to prepare an image sequence in ImageJ for volume visualisation in Brainacle
ZIP Archive - 16.2 GB - MD5: e61eeb632022e0cebdabcd74de078a88
An example image sequence obtained after reconstruction
ZIP Archive - 206.3 MB - MD5: 2fc7b880c94319043cca4dec41238dba
Example data for Brainacle
Hierarchical Data Format - 8.3 GB - MD5: 17a8463cd8bd77b1e9831c8afbeb18e6
An example TDF file obtained after imaging
Adobe PDF - 115.6 KB - MD5: 126e03f72fa300a433a71b37e3779158
Processing steps and parameters for the reconstruction with STP v1.5.3
Rich Text Format - 7.7 KB - MD5: c24fdf932112ce5169ca3a2f50b9421d
The protocol using in the tissue embedding of the samples
Adobe PDF - 73.3 KB - MD5: bb0bad69b8b4a0702c8e6349da95d289
The exact correlation values, shown in the accompanying figure
PNG Image - 42.3 KB - MD5: d7fdd93410b4182a35946b95b5945ef7
The figure referenced in the paper, showing the correlations between the two methods for each gross brain region.
May 14, 2025
Müller, Christoph; Ertl, Thomas, 2024, "Performance Data for the Visualisation of Time-Dependent Particles using DirectStorage", https://doi.org/10.18419/DARUS-4017, DaRUS, V2
Results of a series of performance measurements (frame times) to determine the impact of using the DirectStorage API for rendering time-dependent particle data sets in contrast to using traditional POSIX-style I/O APIs.
MS Excel Spreadsheet - 1.2 MB - MD5: f1903e90bf9de0b262ff7c70cfa721ab
Results of rendering batches of spheres from multiple I/O requests on Windows 11.
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