---
OA_place: publisher
OA_type: hybrid
_id: '17219'
abstract:
- lang: eng
text: 'We introduce a multi-material non-manifold mesh-based surface tracking algorithm
that converts self-intersections into topological changes. Our algorithm generalizes
prior work on manifold surface tracking with topological changes: it preserves
surface features like mesh-based methods, and it robustly handles topological
changes like level set methods. Our method also offers improved efficiency and
robustness over the state of the art. We demonstrate the effectiveness of the
approach on a range of examples, including complex soap film simulations with
thousands of interacting bubbles, and boolean unions of non-manifold meshes consisting
of millions of triangles.'
acknowledgement: Peter Heiss-Synak helped conceive the project, helped formulate the
algorithm structure, contributed ideas and code to Sections 6 & 8, the mesh data
structure, algorithm robustness and benchmarks, helped write the paper, and provided
supervision and conceptual solutions throughout the project. Aleksei Kalinov contributed
ideas and code to Sections 7, 8.5, and 5, the sparse grid data structure, algorithm
robustness and benchmarks, optimized the performance, produced all results, most
figures, and the supplementary video, helped write the text, and provided conceptual
solutions throughout the project. Malina Strugaru helped implement the mesh data
structure and designed re-meshing operations for non-manifold triangle meshes. Arian
Etemadi developed early prototypes for ideas in Sections 8.1 and 8.3 and helped
write the paper. Huidong Yang developed early prototypes for isosurface extraction
and visualization. Chris Wojtan helped conceive the project, helped write the paper,
and provided supervision, prototype grid data structure code, and conceptual solutions
throughout the project. We thank the anonymous reviewers for their helpful comments,
the members of the Visual Computing Group at ISTA for their feedback, Christopher
Batty for discussions about LosTopos, and SideFX for the Houdini Education software
licenses. This research was funded in part by the European Union (ERC-2021-COG
101045083 CoDiNA).
article_number: '54'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Peter
full_name: Synak, Peter
id: 331776E2-F248-11E8-B48F-1D18A9856A87
last_name: Synak
- first_name: Aleksei
full_name: Kalinov, Aleksei
id: 44b7120e-eb97-11eb-a6c2-e1557aa81d02
last_name: Kalinov
orcid: 0000-0003-2189-3904
- first_name: Irina-Malina
full_name: Strugaru, Irina-Malina
id: 2afc607f-f128-11eb-9611-8f2a0dfcf074
last_name: Strugaru
- first_name: Arian
full_name: Etemadihaghighi, Arian
id: 36cea3aa-f38e-11ec-8ae0-c65ae6f6098f
last_name: Etemadihaghighi
- first_name: Huidong
full_name: Yang, Huidong
last_name: Yang
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Synak P, Kalinov A, Strugaru I-M, Etemadi A, Yang H, Wojtan C. Multi-material
mesh-based surface tracking with implicit topology changes. ACM Transactions
on Graphics. 2024;43(4). doi:10.1145/3658223
apa: Synak, P., Kalinov, A., Strugaru, I.-M., Etemadi, A., Yang, H., & Wojtan,
C. (2024). Multi-material mesh-based surface tracking with implicit topology changes.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3658223
chicago: Synak, Peter, Aleksei Kalinov, Irina-Malina Strugaru, Arian Etemadi, Huidong
Yang, and Chris Wojtan. “Multi-Material Mesh-Based Surface Tracking with Implicit
Topology Changes.” ACM Transactions on Graphics. Association for Computing
Machinery, 2024. https://doi.org/10.1145/3658223.
ieee: P. Synak, A. Kalinov, I.-M. Strugaru, A. Etemadi, H. Yang, and C. Wojtan,
“Multi-material mesh-based surface tracking with implicit topology changes,” ACM
Transactions on Graphics, vol. 43, no. 4. Association for Computing Machinery,
2024.
ista: Synak P, Kalinov A, Strugaru I-M, Etemadi A, Yang H, Wojtan C. 2024. Multi-material
mesh-based surface tracking with implicit topology changes. ACM Transactions on
Graphics. 43(4), 54.
mla: Synak, Peter, et al. “Multi-Material Mesh-Based Surface Tracking with Implicit
Topology Changes.” ACM Transactions on Graphics, vol. 43, no. 4, 54, Association
for Computing Machinery, 2024, doi:10.1145/3658223.
short: P. Synak, A. Kalinov, I.-M. Strugaru, A. Etemadi, H. Yang, C. Wojtan, ACM
Transactions on Graphics 43 (2024).
corr_author: '1'
date_created: 2024-07-10T12:24:00Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2026-04-07T13:02:36Z
day: '01'
ddc:
- '004'
department:
- _id: GradSch
- _id: ChWo
doi: 10.1145/3658223
external_id:
isi:
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date_updated: 2024-07-23T06:35:15Z
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content_type: video/mp4
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date_updated: 2025-11-11T09:50:52Z
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file_name: SuperDuperTopoFixer.pdf
file_size: 48639581
relation: preprint
title: Authors' version of the text
file_date_updated: 2025-11-11T09:50:52Z
has_accepted_license: '1'
intvolume: ' 43'
isi: 1
issue: '4'
keyword:
- surface tracking
- topology change
- non- manifold meshes
- multi-material flows
- solid modeling
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
grant_number: '101045083'
name: Computational Discovery of Numerical Algorithms for Animation and Simulation
of Natural Phenomena
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
record:
- id: '19630'
relation: dissertation_contains
status: public
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relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Multi-material mesh-based surface tracking with implicit topology changes
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legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
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...
---
OA_place: publisher
_id: '18301'
abstract:
- lang: eng
text: Physics simulation in computer graphics can bring triangle meshes into topologically
invalid states. The method in this thesis contributed to Heiss-Synak* and Kalinov*
et al. [2024] who devised a non-manifold hybrid surface tracker—a surface tracker
that repairs explicit non-manifold triangle meshes with the help of the implicit
domain. Specifically, this thesis provides an algorithm for filling the holes
that are left after removing problematic parts of the mesh.
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Arian
full_name: Etemadihaghighi, Arian
id: 36cea3aa-f38e-11ec-8ae0-c65ae6f6098f
last_name: Etemadihaghighi
citation:
ama: Etemadi A. Filling the holes of non-manifold self-intersecting meshes for implicit
topology changes in surface tracking. 2024. doi:10.15479/at:ista:18301
apa: Etemadi, A. (2024). Filling the holes of non-manifold self-intersecting
meshes for implicit topology changes in surface tracking. Institute of Science
and Technology Austria. https://doi.org/10.15479/at:ista:18301
chicago: Etemadi, Arian. “Filling the Holes of Non-Manifold Self-Intersecting Meshes
for Implicit Topology Changes in Surface Tracking.” Institute of Science and Technology
Austria, 2024. https://doi.org/10.15479/at:ista:18301.
ieee: A. Etemadi, “Filling the holes of non-manifold self-intersecting meshes for
implicit topology changes in surface tracking,” Institute of Science and Technology
Austria, 2024.
ista: Etemadi A. 2024. Filling the holes of non-manifold self-intersecting meshes
for implicit topology changes in surface tracking. Institute of Science and Technology
Austria.
mla: Etemadi, Arian. Filling the Holes of Non-Manifold Self-Intersecting Meshes
for Implicit Topology Changes in Surface Tracking. Institute of Science and
Technology Austria, 2024, doi:10.15479/at:ista:18301.
short: A. Etemadi, Filling the Holes of Non-Manifold Self-Intersecting Meshes for
Implicit Topology Changes in Surface Tracking, Institute of Science and Technology
Austria, 2024.
corr_author: '1'
date_created: 2024-10-11T19:52:20Z
date_published: 2024-10-15T00:00:00Z
date_updated: 2026-04-07T13:02:36Z
day: '15'
ddc:
- '000'
degree_awarded: MS
department:
- _id: GradSch
- _id: ChWo
doi: 10.15479/at:ista:18301
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creator: aetemadi
date_created: 2024-10-24T14:34:54Z
date_updated: 2024-10-24T14:34:54Z
file_id: '18470'
file_name: thesis-arian-etemadi-latex-source.zip
file_size: 9802650
relation: source_file
file_date_updated: 2024-10-24T14:34:54Z
has_accepted_license: '1'
keyword:
- surface tracking
- non-manifold
- hole-filling
- topology change
- multi-material
- solid-modeling
language:
- iso: eng
license: https://creativecommons.org/licenses/by-sa/4.0/
month: '10'
oa: 1
oa_version: Published Version
page: '39'
publication_identifier:
issn:
- 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '17219'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
title: Filling the holes of non-manifold self-intersecting meshes for implicit topology
changes in surface tracking
tmp:
image: /images/cc_by_sa.png
legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode
name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC
BY-SA 4.0)
short: CC BY-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
OA_place: publisher
_id: '17368'
abstract:
- lang: eng
text: "Recent advancements in molecular diagnostic techniques have enabled the collection
of\r\nmultiple types of omics data from patients, including genomics, epigenomics,
proteomics,\r\nand transcriptomics. However, we lack effective methods for integrating
all these different\r\ndata types and combining them with clinical outcomes to
study the molecular mechanisms\r\nthat govern pathological phenotypes. We present
multi-omics BayesW, a penalized Bayesian\r\nregression method that can handle
general omics data for survival analysis of time-to-event\r\nphenotypes. Our method
can: (1) accommodate incomplete data by allowing censored\r\nindividuals, (2)
use continuous time-to-event data to test associations of markers with a\r\nphenotype
and (3) estimate effects jointly while allowing for independent groups of biological\r\nmarkers.
Extensive simulations using planted signals on real data demonstrate that our
model\r\naccurately retrieves the true parameters of the model while controlling
for false discoveries\r\nand maintaining the expected prediction accuracy. We
address data correlations by estimating\r\nthe effects jointly, even between omic
groups, while also estimating the individual variance\r\nexplained by each group.
We apply our model to two datasets. Using 18,000 individuals from\r\nthe Generation
Scotland study we model the association of time at onset of Type 2 Diabetes,\r\nStroke,
Ischemic Disease, and Osteoarthritis from baseline study entry, with 831,724 CpG\r\nmethylation
probes. We find that large proportions of variation in disease onset times can\r\nbe
attributed to methylation as measured in whole blood at baseline in individuals
without\r\ndisease symptoms. We then apply our model to The Cancer Genome Atlas
(TCGA) pan-cancer\r\ndataset, in which we use 5 types of omics: copy number variation,
epigenetics, somatic\r\nmutations, miRNA, and gene expression. For cancer survival
age-at-onset we find that, when\r\nfitting the 5 groups together, almost all variation
attributable to \"omics\" data is explained by\r\nDNA methylation. When considering
progression times, both methylation and gene expression\r\nexplain a large part
of the variance. We found 2 genes that are significantly associated (95%\r\nposterior
inclusion probability) with cancer survival time, conditional on all other genome-wide\r\nomics
data variation. Owing to the vast variability of mechanisms characterizing different\r\ncancers,
there are likely few specific genes with a strong signal in a pan-cancer setting.
Taken\r\ntogether, we showed the applicability of our multi-omics BayesW model
to a wide-range of\r\nbiological questions in multi-omics data.\r\n"
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Ariadna
full_name: Villanueva Marijuan, Ariadna
id: e0ae4864-133f-11ed-8f02-adaa8dd27540
last_name: Villanueva Marijuan
citation:
ama: Villanueva Marijuan A. Bayesian linear regression for analyzing general omics
data with time-to-event phenotypes. 2024. doi:10.15479/at:ista:17368
apa: Villanueva Marijuan, A. (2024). Bayesian linear regression for analyzing
general omics data with time-to-event phenotypes. Institute of Science and
Technology Austria. https://doi.org/10.15479/at:ista:17368
chicago: Villanueva Marijuan, Ariadna. “Bayesian Linear Regression for Analyzing
General Omics Data with Time-to-Event Phenotypes.” Institute of Science and Technology
Austria, 2024. https://doi.org/10.15479/at:ista:17368.
ieee: A. Villanueva Marijuan, “Bayesian linear regression for analyzing general
omics data with time-to-event phenotypes,” Institute of Science and Technology
Austria, 2024.
ista: Villanueva Marijuan A. 2024. Bayesian linear regression for analyzing general
omics data with time-to-event phenotypes. Institute of Science and Technology
Austria.
mla: Villanueva Marijuan, Ariadna. Bayesian Linear Regression for Analyzing General
Omics Data with Time-to-Event Phenotypes. Institute of Science and Technology
Austria, 2024, doi:10.15479/at:ista:17368.
short: A. Villanueva Marijuan, Bayesian Linear Regression for Analyzing General
Omics Data with Time-to-Event Phenotypes, Institute of Science and Technology
Austria, 2024.
corr_author: '1'
date_created: 2024-08-02T10:52:40Z
date_published: 2024-08-13T00:00:00Z
date_updated: 2026-04-07T13:03:41Z
day: '13'
ddc:
- '610'
degree_awarded: MS
department:
- _id: GradSch
- _id: MaRo
doi: 10.15479/at:ista:17368
file:
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checksum: 0c2daa174609f0c00919dccc5701d375
content_type: application/pdf
creator: avillanu
date_created: 2024-08-14T11:51:24Z
date_updated: 2025-02-14T23:30:03Z
embargo: 2025-02-14
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file_size: 13052436
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file_id: '17434'
file_name: Masters thesis-AriadnaVillanueva.zip
file_size: 45642547
relation: source_file
file_date_updated: 2025-02-14T23:30:03Z
has_accepted_license: '1'
keyword:
- Epigenetics
- Multi-omics
- Bayesian regression
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: '60'
publication_identifier:
issn:
- 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Matthew Richard
full_name: Robinson, Matthew Richard
id: E5D42276-F5DA-11E9-8E24-6303E6697425
last_name: Robinson
orcid: 0000-0001-8982-8813
title: Bayesian linear regression for analyzing general omics data with time-to-event
phenotypes
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
_id: '12976'
abstract:
- lang: eng
text: "3D printing based on continuous deposition of materials, such as filament-based
3D printing, has seen widespread adoption thanks to its versatility in working
with a wide range of materials. An important shortcoming of this type of technology
is its limited multi-material capabilities. While there are simple hardware designs
that enable multi-material printing in principle, the required software is heavily
underdeveloped. A typical hardware design fuses together individual materials
fed into a single chamber from multiple inlets before they are deposited. This
design, however, introduces a time delay between the intended material mixture
and its actual deposition. In this work, inspired by diverse path planning research
in robotics, we show that this mechanical challenge can be addressed via improved
printer control. We propose to formulate the search for optimal multi-material
printing policies in a reinforcement\r\nlearning setup. We put forward a simple
numerical deposition model that takes into account the non-linear material mixing
and delayed material deposition. To validate our system we focus on color fabrication,
a problem known for its strict requirements for varying material mixtures at a
high spatial frequency. We demonstrate that our learned control policy outperforms
state-of-the-art hand-crafted algorithms."
acknowledgement: This work is graciously supported by FWF Lise Meitner (Grant M 3319).
Kang Liao sincerely thank Emiliano Luci, Chunyu Lin, and Yao Zhao for their huge
support.
article_processing_charge: No
author:
- first_name: Kang
full_name: Liao, Kang
last_name: Liao
- first_name: Thibault
full_name: Tricard, Thibault
last_name: Tricard
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
orcid: 0000-0002-5062-4474
- first_name: Hans-Peter
full_name: Seidel, Hans-Peter
last_name: Seidel
- first_name: Vahid
full_name: Babaei, Vahid
last_name: Babaei
citation:
ama: 'Liao K, Tricard T, Piovarci M, Seidel H-P, Babaei V. Learning deposition policies
for fused multi-material 3D printing. In: 2023 IEEE International Conference
on Robotics and Automation. Vol 2023. IEEE; 2023:12345-12352. doi:10.1109/ICRA48891.2023.10160465'
apa: 'Liao, K., Tricard, T., Piovarci, M., Seidel, H.-P., & Babaei, V. (2023).
Learning deposition policies for fused multi-material 3D printing. In 2023
IEEE International Conference on Robotics and Automation (Vol. 2023, pp. 12345–12352).
London, United Kingdom: IEEE. https://doi.org/10.1109/ICRA48891.2023.10160465'
chicago: Liao, Kang, Thibault Tricard, Michael Piovarci, Hans-Peter Seidel, and
Vahid Babaei. “Learning Deposition Policies for Fused Multi-Material 3D Printing.”
In 2023 IEEE International Conference on Robotics and Automation, 2023:12345–52.
IEEE, 2023. https://doi.org/10.1109/ICRA48891.2023.10160465.
ieee: K. Liao, T. Tricard, M. Piovarci, H.-P. Seidel, and V. Babaei, “Learning deposition
policies for fused multi-material 3D printing,” in 2023 IEEE International
Conference on Robotics and Automation, London, United Kingdom, 2023, vol.
2023, pp. 12345–12352.
ista: 'Liao K, Tricard T, Piovarci M, Seidel H-P, Babaei V. 2023. Learning deposition
policies for fused multi-material 3D printing. 2023 IEEE International Conference
on Robotics and Automation. ICRA: International Conference on Robotics and Automation
vol. 2023, 12345–12352.'
mla: Liao, Kang, et al. “Learning Deposition Policies for Fused Multi-Material 3D
Printing.” 2023 IEEE International Conference on Robotics and Automation,
vol. 2023, IEEE, 2023, pp. 12345–52, doi:10.1109/ICRA48891.2023.10160465.
short: K. Liao, T. Tricard, M. Piovarci, H.-P. Seidel, V. Babaei, in:, 2023 IEEE
International Conference on Robotics and Automation, IEEE, 2023, pp. 12345–12352.
conference:
end_date: 2023-06-02
location: London, United Kingdom
name: 'ICRA: International Conference on Robotics and Automation'
start_date: 2023-05-29
date_created: 2023-05-16T09:14:09Z
date_published: 2023-07-04T00:00:00Z
date_updated: 2025-04-15T07:43:52Z
day: '04'
ddc:
- '004'
department:
- _id: BeBi
doi: 10.1109/ICRA48891.2023.10160465
external_id:
isi:
- '001048371104068'
file:
- access_level: open_access
checksum: daeaa67124777d88487f933ea3f77164
content_type: application/pdf
creator: mpiovarc
date_created: 2023-05-16T09:12:05Z
date_updated: 2023-05-16T09:12:05Z
file_id: '12977'
file_name: Liao2023.pdf
file_size: 5367986
relation: main_file
success: 1
file_date_updated: 2023-05-16T09:12:05Z
has_accepted_license: '1'
intvolume: ' 2023'
isi: 1
keyword:
- reinforcement learning
- deposition
- control
- color
- multi-filament
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
page: 12345-12352
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
grant_number: M03319
name: Perception-Aware Appearance Fabrication
publication: 2023 IEEE International Conference on Robotics and Automation
publication_identifier:
eisbn:
- '9798350323658'
issn:
- 1050-4729
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning deposition policies for fused multi-material 3D printing
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2023
year: '2023'
...
---
OA_place: publisher
_id: '6435'
abstract:
- lang: eng
text: "Social insect colonies tend to have numerous members which function together
like a single organism in such harmony that the term ``super-organism'' is often
used. In this analogy the reproductive caste is analogous to the primordial germ\r\ncells
of a metazoan, while the sterile worker caste corresponds to somatic cells. The
worker castes, like tissues, are\r\nin charge of all functions of a living being,
besides reproduction. The establishment of new super-organismal units\r\n(i.e.
new colonies) is accomplished by the co-dependent castes. The term oftentimes
goes beyond a metaphor. We invoke it when we speak about the metabolic rate, thermoregulation,
nutrient regulation and gas exchange of a social insect colony. Furthermore, we
assert that the super-organism has an immune system, and benefits from ``social
immunity''.\r\n\r\nSocial immunity was first summoned by evolutionary biologists
to resolve the apparent discrepancy between the expected high frequency of disease
outbreak amongst numerous, closely related tightly-interacting hosts, living in
stable and microbially-rich environments, against the exceptionally scarce epidemic
accounts in natural populations. Social\r\nimmunity comprises a multi-layer assembly
of behaviours which have evolved to effectively keep the pathogenic enemies of
a colony at bay. The field of social immunity has drawn interest, as it becomes
increasingly urgent to stop\r\nthe collapse of pollinator species and curb the
growth of invasive pests. In the past decade, several mechanisms of\r\nsocial
immune responses have been dissected, but many more questions remain open.\r\n\r\nI
present my work in two experimental chapters. In the first, I use invasive garden
ants (*Lasius neglectus*) to study how pathogen load and its distribution among
nestmates affect the grooming response of the group. Any given group of ants will
carry out the same total grooming work, but will direct their grooming effort
towards individuals\r\ncarrying a relatively higher spore load. Contrary to expectation,
the highest risk of transmission does not stem from grooming highly contaminated
ants, but instead, we suggest that the grooming response likely minimizes spore
loss to the environment, reducing contamination from inadvertent pickup from the
substrate.\r\n\r\nThe second is a comparative developmental approach. I follow
black garden ant queens (*Lasius niger*) and their colonies from mating flight,
through hibernation for a year. Colonies which grow fast from the start, have
a lower chance of survival through hibernation, and those which survive grow at
a lower pace later. This is true for colonies of naive\r\nand challenged queens.
Early pathogen exposure of the queens changes colony dynamics in an unexpected
way: colonies from exposed queens are more likely to grow slowly and recover in
numbers only after they survive hibernation.\r\n\r\nIn addition to the two experimental
chapters, this thesis includes a co-authored published review on organisational\r\nimmunity,
where we enlist the experimental evidence and theoretical framework on which this
hypothesis is built,\r\nidentify the caveats and underline how the field is ripe
to overcome them. In a final chapter, I describe my part in\r\ntwo collaborative
efforts, one to develop an image-based tracker, and the second to develop a classifier
for ant\r\nbehaviour."
acknowledged_ssus:
- _id: Bio
- _id: ScienComp
- _id: M-Shop
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Barbara E
full_name: Casillas Perez, Barbara E
id: 351ED2AA-F248-11E8-B48F-1D18A9856A87
last_name: Casillas Perez
citation:
ama: Casillas Perez BE. Collective defenses of garden ants against a fungal pathogen.
2019. doi:10.15479/AT:ISTA:6435
apa: Casillas Perez, B. E. (2019). Collective defenses of garden ants against
a fungal pathogen. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:6435
chicago: Casillas Perez, Barbara E. “Collective Defenses of Garden Ants against
a Fungal Pathogen.” Institute of Science and Technology Austria, 2019. https://doi.org/10.15479/AT:ISTA:6435.
ieee: B. E. Casillas Perez, “Collective defenses of garden ants against a fungal
pathogen,” Institute of Science and Technology Austria, 2019.
ista: Casillas Perez BE. 2019. Collective defenses of garden ants against a fungal
pathogen. Institute of Science and Technology Austria.
mla: Casillas Perez, Barbara E. Collective Defenses of Garden Ants against a
Fungal Pathogen. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6435.
short: B.E. Casillas Perez, Collective Defenses of Garden Ants against a Fungal
Pathogen, Institute of Science and Technology Austria, 2019.
corr_author: '1'
date_created: 2019-05-13T08:58:35Z
date_published: 2019-05-07T00:00:00Z
date_updated: 2026-04-08T14:02:12Z
day: '07'
ddc:
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department:
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ec_funded: 1
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file_size: 7365118
relation: source_file
file_date_updated: 2021-02-11T11:17:15Z
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keyword:
- Social Immunity
- Sanitary care
- Social Insects
- Organisational Immunity
- Colony development
- Multi-target tracking
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '183'
project:
- _id: 2649B4DE-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771402'
name: Epidemics in ant societies on a chip
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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relation: part_of_dissertation
status: public
status: public
supervisor:
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full_name: Cremer, Sylvia M
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
title: Collective defenses of garden ants against a fungal pathogen
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2019'
...
---
_id: '5560'
abstract:
- lang: eng
text: "This repository contains the data collected for the manuscript \"Biased partitioning
of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity\".\r\nThe
data is compressed into a single archive. Within the archive, different folders
correspond to figures of the main text and the SI of the related publication.\r\nData
is saved as plain text, with each folder containing a separate readme file describing
the format. Typically, the data is from fluorescence microscopy measurements of
single cells growing in a microfluidic \"mother machine\" device, and consists
of relevant values (primarily arbitrary unit or normalized fluorescence measurements,
and division times / growth rates) after raw microscopy images have been processed,
segmented, and their features extracted, as described in the methods section of
the related publication."
article_processing_charge: No
author:
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full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Anna M
full_name: Andersson, Anna M
id: 2B8A40DA-F248-11E8-B48F-1D18A9856A87
last_name: Andersson
orcid: 0000-0003-2912-6769
- first_name: Kathrin
full_name: Tomasek, Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
orcid: 0000-0003-3768-877X
- first_name: Enrique
full_name: Balleza, Enrique
last_name: Balleza
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multi-drug
efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. 2017. doi:10.15479/AT:ISTA:53
apa: Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild,
R., … Guet, C. C. (2017). Biased partitioning of the multi-drug efflux pump AcrAB-TolC
underlies long-lived phenotypic heterogeneity. Institute of Science and Technology
Austria. https://doi.org/10.15479/AT:ISTA:53
chicago: Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza,
Daniel Kiviet, Robert Hauschild, Gašper Tkačik, and Calin C Guet. “Biased Partitioning
of the Multi-Drug Efflux Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity.”
Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:53.
ieee: T. Bergmiller et al., “Biased partitioning of the multi-drug efflux
pump AcrAB-TolC underlies long-lived phenotypic heterogeneity.” Institute of Science
and Technology Austria, 2017.
ista: Bergmiller T, Andersson AM, Tomasek K, Balleza E, Kiviet D, Hauschild R, Tkačik
G, Guet CC. 2017. Biased partitioning of the multi-drug efflux pump AcrAB-TolC
underlies long-lived phenotypic heterogeneity, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:53.
mla: Bergmiller, Tobias, et al. Biased Partitioning of the Multi-Drug Efflux
Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity. Institute of
Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:53.
short: T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild,
G. Tkačik, C.C. Guet, (2017).
datarep_id: '53'
date_created: 2018-12-12T12:31:32Z
date_published: 2017-03-10T00:00:00Z
date_updated: 2025-09-11T07:05:03Z
day: '10'
ddc:
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department:
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- _id: GaTk
- _id: Bio
doi: 10.15479/AT:ISTA:53
file:
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checksum: d77859af757ac8025c50c7b12b52eaf3
content_type: application/zip
creator: system
date_created: 2018-12-12T13:02:38Z
date_updated: 2020-07-14T12:47:03Z
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file_name: IST-2017-53-v1+1_Data_MDE.zip
file_size: 6773204
relation: main_file
file_date_updated: 2020-07-14T12:47:03Z
has_accepted_license: '1'
keyword:
- single cell microscopy
- mother machine microfluidic device
- AcrAB-TolC pump
- multi-drug efflux
- Escherichia coli
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '03'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
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title: Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived
phenotypic heterogeneity
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legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
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year: '2017'
...
---
_id: '5562'
abstract:
- lang: eng
text: "This data was collected as part of the study [1]. It consists of preprocessed
multi-electrode array recording from 160 salamander retinal ganglion cells responding
to 297 repeats of a 19 s natural movie. The data is available in two formats:
(1) a .mat file containing an array with dimensions “number of repeats” x “number
of neurons” x “time in a repeat”; (2) a zipped .txt file containing the same data
represented as an array with dimensions “number of neurons” x “number of samples”,
where the number of samples is equal to the product of the number of repeats and
timebins within a repeat. The time dimension is divided into 20 ms time windows,
and the array is binary indicating whether a given cell elicited at least one
spike in a given time window during a particular repeat. See the reference below
for details regarding collection and preprocessing:\r\n\r\n[1] Tkačik G, Marre
O, Amodei D, Schneidman E, Bialek W, Berry MJ II. Searching for Collective Behavior
in a Large Network of Sensory Neurons. PLoS Comput Biol. 2014;10(1):e1003408."
article_processing_charge: No
author:
- first_name: Olivier
full_name: Marre, Olivier
last_name: Marre
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Dario
full_name: Amodei, Dario
last_name: Amodei
- first_name: Elad
full_name: Schneidman, Elad
last_name: Schneidman
- first_name: William
full_name: Bialek, William
last_name: Bialek
- first_name: Michael
full_name: Berry, Michael
last_name: Berry
citation:
ama: Marre O, Tkačik G, Amodei D, Schneidman E, Bialek W, Berry M. Multi-electrode
array recording from salamander retinal ganglion cells. 2017. doi:10.15479/AT:ISTA:61
apa: Marre, O., Tkačik, G., Amodei, D., Schneidman, E., Bialek, W., & Berry,
M. (2017). Multi-electrode array recording from salamander retinal ganglion cells.
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:61
chicago: Marre, Olivier, Gašper Tkačik, Dario Amodei, Elad Schneidman, William Bialek,
and Michael Berry. “Multi-Electrode Array Recording from Salamander Retinal Ganglion
Cells.” Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:61.
ieee: O. Marre, G. Tkačik, D. Amodei, E. Schneidman, W. Bialek, and M. Berry, “Multi-electrode
array recording from salamander retinal ganglion cells.” Institute of Science
and Technology Austria, 2017.
ista: Marre O, Tkačik G, Amodei D, Schneidman E, Bialek W, Berry M. 2017. Multi-electrode
array recording from salamander retinal ganglion cells, Institute of Science and
Technology Austria, 10.15479/AT:ISTA:61.
mla: Marre, Olivier, et al. Multi-Electrode Array Recording from Salamander Retinal
Ganglion Cells. Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:61.
short: O. Marre, G. Tkačik, D. Amodei, E. Schneidman, W. Bialek, M. Berry, (2017).
datarep_id: '61'
date_created: 2018-12-12T12:31:33Z
date_published: 2017-02-27T00:00:00Z
date_updated: 2025-09-29T11:14:05Z
day: '27'
ddc:
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department:
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doi: 10.15479/AT:ISTA:61
file:
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checksum: e620eff260646f57b479a69492c8b765
content_type: application/octet-stream
creator: system
date_created: 2018-12-12T13:03:04Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5622'
file_name: IST-2017-61-v1+1_bint_fishmovie32_100.mat
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relation: main_file
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checksum: de83f9b81ea0aae3cddfc3ed982e0759
content_type: application/zip
creator: system
date_created: 2018-12-12T13:03:05Z
date_updated: 2020-07-14T12:47:03Z
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file_size: 1897543
relation: main_file
file_date_updated: 2020-07-14T12:47:03Z
has_accepted_license: '1'
keyword:
- multi-electrode recording
- retinal ganglion cells
month: '02'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
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relation: used_in_publication
status: public
status: public
title: Multi-electrode array recording from salamander retinal ganglion cells
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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...