Sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences.
The user can combine the visualisation methods, annotations, and camera motion paths in a scheduled tour that can be shared by a custom URL or QR code generated directly in the browser interface. Panels (a)-(d) demonstrate use cases for real-world datasets with different characteristics and dimensio...
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ftsmithonian:oai:figshare.com:article/16914534 2023-05-15T15:13:17+02:00 Sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences. Johannes Waschke (6541559) Mario Hlawitschka (195050) Kerim Anlas (11632155) Vikas Trivedi (736630) Ingo Roeder (261619) Jan Huisken (93422) Nico Scherf (11459743) 2021-11-01T18:43:53Z https://doi.org/10.1371/journal.pcbi.1009503.g003 unknown https://figshare.com/articles/figure/Sharable_interactive_visualisation_packets_for_a_multitude_of_applications_ranging_across_a_variety_of_sciences_/16914534 doi:10.1371/journal.pcbi.1009503.g003 CC BY 4.0 CC-BY Neuroscience Developmental Biology Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified test hypotheses collaboratively sharing 3d trajectories one concise packet scale trajectory data reads trajectory data div >< p shared online python script often confronted interactive web interactive visualisation edge bundling custom axes cumbersome task conveniently explore collaborative discovery based visualisation additional features Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pcbi.1009503.g003 2021-12-19T22:54:36Z The user can combine the visualisation methods, annotations, and camera motion paths in a scheduled tour that can be shared by a custom URL or QR code generated directly in the browser interface. Panels (a)-(d) demonstrate use cases for real-world datasets with different characteristics and dimensionality. (a) Ant trails (2D+t) from [ 18 ]. Bundling and colour-coding (spatial orientation by mapping (x,y,z) to (R,G,B) values) indicate the major trails running in opposing directions. (b) GPS Animal tracking data for two species (blue whales [ 19 ]—blue and arctic tern [ 20 ]—red) shown on a Mercator projection of the earth’s surface. For a better orientation, the outline of the continents is included as axes into the visualisation that dynamically adapt to the projections and viewpoint changes (2D surface data + t). (c) Brain tractography data showing major white matter connectivity from diffusion MRI (3D). The spatial selection highlights the left hemisphere, while anatomical context is provided by the outline of the entire brain (from mesh data) and the defocused tracts of the right hemisphere. (d) Cell movements during the elongation process of zebrafish blastoderm explants (3D+t) [ 21 ]. Bundling, colour coding, and spatial selection highlight collective cell movements as the explant starts elongating, focusing on a subpopulation of cells driving this process. The colour code shows time from early (yellow) to late (red) for selected tracks. Still Image Arctic Arctic tern Unknown Arctic |
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Open Polar |
collection |
Unknown |
op_collection_id |
ftsmithonian |
language |
unknown |
topic |
Neuroscience Developmental Biology Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified test hypotheses collaboratively sharing 3d trajectories one concise packet scale trajectory data reads trajectory data div >< p shared online python script often confronted interactive web interactive visualisation edge bundling custom axes cumbersome task conveniently explore collaborative discovery based visualisation additional features |
spellingShingle |
Neuroscience Developmental Biology Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified test hypotheses collaboratively sharing 3d trajectories one concise packet scale trajectory data reads trajectory data div >< p shared online python script often confronted interactive web interactive visualisation edge bundling custom axes cumbersome task conveniently explore collaborative discovery based visualisation additional features Johannes Waschke (6541559) Mario Hlawitschka (195050) Kerim Anlas (11632155) Vikas Trivedi (736630) Ingo Roeder (261619) Jan Huisken (93422) Nico Scherf (11459743) Sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences. |
topic_facet |
Neuroscience Developmental Biology Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified test hypotheses collaboratively sharing 3d trajectories one concise packet scale trajectory data reads trajectory data div >< p shared online python script often confronted interactive web interactive visualisation edge bundling custom axes cumbersome task conveniently explore collaborative discovery based visualisation additional features |
description |
The user can combine the visualisation methods, annotations, and camera motion paths in a scheduled tour that can be shared by a custom URL or QR code generated directly in the browser interface. Panels (a)-(d) demonstrate use cases for real-world datasets with different characteristics and dimensionality. (a) Ant trails (2D+t) from [ 18 ]. Bundling and colour-coding (spatial orientation by mapping (x,y,z) to (R,G,B) values) indicate the major trails running in opposing directions. (b) GPS Animal tracking data for two species (blue whales [ 19 ]—blue and arctic tern [ 20 ]—red) shown on a Mercator projection of the earth’s surface. For a better orientation, the outline of the continents is included as axes into the visualisation that dynamically adapt to the projections and viewpoint changes (2D surface data + t). (c) Brain tractography data showing major white matter connectivity from diffusion MRI (3D). The spatial selection highlights the left hemisphere, while anatomical context is provided by the outline of the entire brain (from mesh data) and the defocused tracts of the right hemisphere. (d) Cell movements during the elongation process of zebrafish blastoderm explants (3D+t) [ 21 ]. Bundling, colour coding, and spatial selection highlight collective cell movements as the explant starts elongating, focusing on a subpopulation of cells driving this process. The colour code shows time from early (yellow) to late (red) for selected tracks. |
format |
Still Image |
author |
Johannes Waschke (6541559) Mario Hlawitschka (195050) Kerim Anlas (11632155) Vikas Trivedi (736630) Ingo Roeder (261619) Jan Huisken (93422) Nico Scherf (11459743) |
author_facet |
Johannes Waschke (6541559) Mario Hlawitschka (195050) Kerim Anlas (11632155) Vikas Trivedi (736630) Ingo Roeder (261619) Jan Huisken (93422) Nico Scherf (11459743) |
author_sort |
Johannes Waschke (6541559) |
title |
Sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences. |
title_short |
Sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences. |
title_full |
Sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences. |
title_fullStr |
Sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences. |
title_full_unstemmed |
Sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences. |
title_sort |
sharable interactive visualisation packets for a multitude of applications ranging across a variety of sciences. |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pcbi.1009503.g003 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic tern |
genre_facet |
Arctic Arctic tern |
op_relation |
https://figshare.com/articles/figure/Sharable_interactive_visualisation_packets_for_a_multitude_of_applications_ranging_across_a_variety_of_sciences_/16914534 doi:10.1371/journal.pcbi.1009503.g003 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pcbi.1009503.g003 |
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1766343854841135104 |