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...

Full description

Bibliographic Details
Main Authors: Johannes Waschke (6541559), Mario Hlawitschka (195050), Kerim Anlas (11632155), Vikas Trivedi (736630), Ingo Roeder (261619), Jan Huisken (93422), Nico Scherf (11459743)
Format: Still Image
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.1371/journal.pcbi.1009503.g003
id ftsmithonian:oai:figshare.com:article/16914534
record_format openpolar
spelling 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
institution 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
_version_ 1766343854841135104