---
_id: '13267'
abstract:
- lang: eng
text: Three-dimensional (3D) reconstruction of living brain tissue down to an individual
synapse level would create opportunities for decoding the dynamics and structure–function
relationships of the brain’s complex and dense information processing network;
however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise
ratio and prohibitive light burden in optical imaging, whereas electron microscopy
is inherently static. Here we solved these challenges by developing an integrated
optical/machine-learning technology, LIONESS (live information-optimized nanoscopy
enabling saturated segmentation). This leverages optical modifications to stimulated
emission depletion microscopy in comprehensively, extracellularly labeled tissue
and previous information on sample structure via machine learning to simultaneously
achieve isotropic super-resolution, high signal-to-noise ratio and compatibility
with living tissue. This allows dense deep-learning-based instance segmentation
and 3D reconstruction at a synapse level, incorporating molecular, activity and
morphodynamic information. LIONESS opens up avenues for studying the dynamic functional
(nano-)architecture of living brain tissue.
acknowledged_ssus:
- _id: ScienComp
- _id: Bio
- _id: PreCl
- _id: E-Lib
- _id: LifeSc
- _id: M-Shop
acknowledgement: "We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance
and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata
for hardware control support and M. Cunha dos Santos for initial exploration of
software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt,
S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L.
Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We
acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and
optics, preclinical, library and laboratory support facilities and by the Miba machine
shop. We gratefully acknowledge funding by the following sources: Austrian Science
Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.)
and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung
NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D.
and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska
Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research
and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE
(B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.);
and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research
Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development
grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship
no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier
Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science
Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.)."
article_processing_charge: Yes
article_type: original
author:
- first_name: Philipp
full_name: Velicky, Philipp
id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
last_name: Velicky
orcid: 0000-0002-2340-7431
- first_name: Eder
full_name: Miguel Villalba, Eder
id: 3FB91342-F248-11E8-B48F-1D18A9856A87
last_name: Miguel Villalba
orcid: 0000-0001-5665-0430
- first_name: Julia M
full_name: Michalska, Julia M
id: 443DB6DE-F248-11E8-B48F-1D18A9856A87
last_name: Michalska
orcid: 0000-0003-3862-1235
- first_name: Julia
full_name: Lyudchik, Julia
id: 46E28B80-F248-11E8-B48F-1D18A9856A87
last_name: Lyudchik
- first_name: Donglai
full_name: Wei, Donglai
last_name: Wei
- first_name: Zudi
full_name: Lin, Zudi
last_name: Lin
- first_name: Jake
full_name: Watson, Jake
id: 63836096-4690-11EA-BD4E-32803DDC885E
last_name: Watson
orcid: 0000-0002-8698-3823
- first_name: Jakob
full_name: Troidl, Jakob
last_name: Troidl
- first_name: Johanna
full_name: Beyer, Johanna
last_name: Beyer
- first_name: Yoav
full_name: Ben Simon, Yoav
id: 43DF3136-F248-11E8-B48F-1D18A9856A87
last_name: Ben Simon
- first_name: Christoph M
full_name: Sommer, Christoph M
id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
last_name: Sommer
orcid: 0000-0003-1216-9105
- first_name: Wiebke
full_name: Jahr, Wiebke
id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
last_name: Jahr
- first_name: Alban
full_name: Cenameri, Alban
id: 9ac8f577-2357-11eb-997a-e566c5550886
last_name: Cenameri
- first_name: Johannes
full_name: Broichhagen, Johannes
last_name: Broichhagen
- first_name: Seth G.N.
full_name: Grant, Seth G.N.
last_name: Grant
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Johann G
full_name: Danzl, Johann G
id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
last_name: Danzl
orcid: 0000-0001-8559-3973
citation:
ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction
of living brain tissue. Nature Methods. 2023;20:1256-1265. doi:10.1038/s41592-023-01936-6
apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D.,
Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain
tissue. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01936-6
chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik,
Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction
of Living Brain Tissue.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01936-6.
ieee: P. Velicky et al., “Dense 4D nanoscale reconstruction of living brain
tissue,” Nature Methods, vol. 20. Springer Nature, pp. 1256–1265, 2023.
ista: Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson
J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen
J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense
4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265.
mla: Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain
Tissue.” Nature Methods, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:10.1038/s41592-023-01936-6.
short: P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin,
J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri,
J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel,
J.G. Danzl, Nature Methods 20 (2023) 1256–1265.
date_created: 2023-07-23T22:01:13Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2024-01-10T08:37:48Z
day: '01'
department:
- _id: PeJo
- _id: GaNo
- _id: BeBi
- _id: JoDa
- _id: Bio
doi: 10.1038/s41592-023-01936-6
ec_funded: 1
external_id:
isi:
- '001025621500001'
pmid:
- '37429995'
intvolume: ' 20'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41592-023-01936-6
month: '08'
oa: 1
oa_version: Published Version
page: 1256-1265
pmid: 1
project:
- _id: 265CB4D0-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I03600
name: Optical control of synaptic function via adhesion molecules
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W1232-B24
name: Molecular Drug Targets
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
- _id: 23889792-32DE-11EA-91FC-C7463DDC885E
name: High content imaging to decode human immune cell interactions in health and
allergic disease
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
- _id: 25444568-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715508'
name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo
and in vitro Models
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9
call_identifier: H2020
grant_number: '101026635'
name: Synaptic computations of the hippocampal CA3 circuitry
- _id: 2668BFA0-B435-11E9-9278-68D0E5697425
grant_number: LT00057
name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration
publication: Nature Methods
publication_identifier:
eissn:
- 1548-7105
issn:
- 1548-7091
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/danzllab/LIONESS
record:
- id: '12817'
relation: research_data
status: public
- id: '14770'
relation: shorter_version
status: public
scopus_import: '1'
status: public
title: Dense 4D nanoscale reconstruction of living brain tissue
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2023'
...
---
_id: '11943'
abstract:
- lang: eng
text: Complex wiring between neurons underlies the information-processing network
enabling all brain functions, including cognition and memory. For understanding
how the network is structured, processes information, and changes over time, comprehensive
visualization of the architecture of living brain tissue with its cellular and
molecular components would open up major opportunities. However, electron microscopy
(EM) provides nanometre-scale resolution required for full in-silico
reconstruction1–5, yet is limited to fixed specimens and
static representations. Light microscopy allows live observation, with super-resolution
approaches6–12 facilitating nanoscale visualization, but
comprehensive 3D-reconstruction of living brain tissue has been hindered by tissue
photo-burden, photobleaching, insufficient 3D-resolution, and inadequate signal-to-noise
ratio (SNR). Here we demonstrate saturated reconstruction of living brain tissue.
We developed an integrated imaging and analysis technology, adapting stimulated
emission depletion (STED) microscopy6,13 in extracellularly
labelled tissue14 for high SNR and near-isotropic resolution.
Centrally, a two-stage deep-learning approach leveraged previously obtained information
on sample structure to drastically reduce photo-burden and enable automated volumetric
reconstruction down to single synapse level. Live reconstruction provides unbiased
analysis of tissue architecture across time in relation to functional activity
and targeted activation, and contextual understanding of molecular labelling.
This adoptable technology will facilitate novel insights into the dynamic functional
architecture of living brain tissue.
article_processing_charge: No
author:
- first_name: Philipp
full_name: Velicky, Philipp
id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
last_name: Velicky
orcid: 0000-0002-2340-7431
- first_name: Eder
full_name: Miguel Villalba, Eder
id: 3FB91342-F248-11E8-B48F-1D18A9856A87
last_name: Miguel Villalba
orcid: 0000-0001-5665-0430
- first_name: Julia M
full_name: Michalska, Julia M
id: 443DB6DE-F248-11E8-B48F-1D18A9856A87
last_name: Michalska
orcid: 0000-0003-3862-1235
- first_name: Donglai
full_name: Wei, Donglai
last_name: Wei
- first_name: Zudi
full_name: Lin, Zudi
last_name: Lin
- first_name: Jake
full_name: Watson, Jake
id: 63836096-4690-11EA-BD4E-32803DDC885E
last_name: Watson
orcid: 0000-0002-8698-3823
- first_name: Jakob
full_name: Troidl, Jakob
last_name: Troidl
- first_name: Johanna
full_name: Beyer, Johanna
last_name: Beyer
- first_name: Yoav
full_name: Ben Simon, Yoav
id: 43DF3136-F248-11E8-B48F-1D18A9856A87
last_name: Ben Simon
- first_name: Christoph M
full_name: Sommer, Christoph M
id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
last_name: Sommer
orcid: 0000-0003-1216-9105
- first_name: Wiebke
full_name: Jahr, Wiebke
id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
last_name: Jahr
- first_name: Alban
full_name: Cenameri, Alban
id: 9ac8f577-2357-11eb-997a-e566c5550886
last_name: Cenameri
- first_name: Johannes
full_name: Broichhagen, Johannes
last_name: Broichhagen
- first_name: Seth G. N.
full_name: Grant, Seth G. N.
last_name: Grant
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Johann G
full_name: Danzl, Johann G
id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
last_name: Danzl
orcid: 0000-0001-8559-3973
citation:
ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Saturated reconstruction
of living brain tissue. bioRxiv. doi:10.1101/2022.03.16.484431
apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Wei, D., Lin, Z., Watson,
J., … Danzl, J. G. (n.d.). Saturated reconstruction of living brain tissue. bioRxiv.
Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.03.16.484431
chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Donglai Wei,
Zudi Lin, Jake Watson, Jakob Troidl, et al. “Saturated Reconstruction of Living
Brain Tissue.” BioRxiv. Cold Spring Harbor Laboratory, n.d. https://doi.org/10.1101/2022.03.16.484431.
ieee: P. Velicky et al., “Saturated reconstruction of living brain tissue,”
bioRxiv. Cold Spring Harbor Laboratory.
ista: Velicky P, Miguel Villalba E, Michalska JM, Wei D, Lin Z, Watson J, Troidl
J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN,
Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. Saturated reconstruction
of living brain tissue. bioRxiv, 10.1101/2022.03.16.484431.
mla: Velicky, Philipp, et al. “Saturated Reconstruction of Living Brain Tissue.”
BioRxiv, Cold Spring Harbor Laboratory, doi:10.1101/2022.03.16.484431.
short: P. Velicky, E. Miguel Villalba, J.M. Michalska, D. Wei, Z. Lin, J. Watson,
J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen,
S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, BioRxiv
(n.d.).
date_created: 2022-08-23T11:07:59Z
date_published: 2022-05-09T00:00:00Z
date_updated: 2024-03-25T23:30:11Z
day: '09'
department:
- _id: PeJo
- _id: GaNo
- _id: BeBi
- _id: JoDa
doi: 10.1101/2022.03.16.484431
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2022.03.16.484431
month: '05'
oa: 1
oa_version: Preprint
publication: bioRxiv
publication_status: submitted
publisher: Cold Spring Harbor Laboratory
related_material:
record:
- id: '12470'
relation: dissertation_contains
status: public
status: public
title: Saturated reconstruction of living brain tissue
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '6195'
abstract:
- lang: eng
text: In the context of robotic manipulation and grasping, the shift from a view
that is static (force closure of a single posture) and contact-deprived (only
contact for force closure is allowed, everything else is obstacle) towards a view
that is dynamic and contact-rich (soft manipulation) has led to an increased interest
in soft hands. These hands can easily exploit environmental constraints and object
surfaces without risk, and safely interact with humans, but present also some
challenges. Designing them is difficult, as well as predicting, modelling, and
“programming” their interactions with the objects and the environment. This paper
tackles the problem of simulating them in a fast and effective way, leveraging
on novel and existing simulation technologies. We present a triple-layered simulation
framework where dynamic properties such as stiffness are determined from slow
but accurate FEM simulation data once, and then condensed into a lumped parameter
model that can be used to fast simulate soft fingers and soft hands. We apply
our approach to the simulation of soft pneumatic fingers.
article_number: '8461106'
article_processing_charge: No
author:
- first_name: Maria
full_name: Pozzi, Maria
last_name: Pozzi
- first_name: Eder
full_name: Miguel Villalba, Eder
id: 3FB91342-F248-11E8-B48F-1D18A9856A87
last_name: Miguel Villalba
orcid: 0000-0001-5665-0430
- first_name: Raphael
full_name: Deimel, Raphael
last_name: Deimel
- first_name: Monica
full_name: Malvezzi, Monica
last_name: Malvezzi
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Oliver
full_name: Brock, Oliver
last_name: Brock
- first_name: Domenico
full_name: Prattichizzo, Domenico
last_name: Prattichizzo
citation:
ama: 'Pozzi M, Miguel Villalba E, Deimel R, et al. Efficient FEM-based simulation
of soft robots modeled as kinematic chains. In: IEEE; 2018. doi:10.1109/icra.2018.8461106'
apa: 'Pozzi, M., Miguel Villalba, E., Deimel, R., Malvezzi, M., Bickel, B., Brock,
O., & Prattichizzo, D. (2018). Efficient FEM-based simulation of soft robots
modeled as kinematic chains. Presented at the ICRA: International Conference on
Robotics and Automation, Brisbane, Australia: IEEE. https://doi.org/10.1109/icra.2018.8461106'
chicago: Pozzi, Maria, Eder Miguel Villalba, Raphael Deimel, Monica Malvezzi, Bernd
Bickel, Oliver Brock, and Domenico Prattichizzo. “Efficient FEM-Based Simulation
of Soft Robots Modeled as Kinematic Chains.” IEEE, 2018. https://doi.org/10.1109/icra.2018.8461106.
ieee: 'M. Pozzi et al., “Efficient FEM-based simulation of soft robots modeled
as kinematic chains,” presented at the ICRA: International Conference on Robotics
and Automation, Brisbane, Australia, 2018.'
ista: 'Pozzi M, Miguel Villalba E, Deimel R, Malvezzi M, Bickel B, Brock O, Prattichizzo
D. 2018. Efficient FEM-based simulation of soft robots modeled as kinematic chains.
ICRA: International Conference on Robotics and Automation, 8461106.'
mla: Pozzi, Maria, et al. Efficient FEM-Based Simulation of Soft Robots Modeled
as Kinematic Chains. 8461106, IEEE, 2018, doi:10.1109/icra.2018.8461106.
short: M. Pozzi, E. Miguel Villalba, R. Deimel, M. Malvezzi, B. Bickel, O. Brock,
D. Prattichizzo, in:, IEEE, 2018.
conference:
end_date: 2018-05-25
location: Brisbane, Australia
name: 'ICRA: International Conference on Robotics and Automation'
start_date: 2018-05-21
date_created: 2019-04-04T09:50:38Z
date_published: 2018-09-10T00:00:00Z
date_updated: 2023-09-19T14:49:03Z
day: '10'
department:
- _id: BeBi
doi: 10.1109/icra.2018.8461106
external_id:
isi:
- '000446394503031'
isi: 1
language:
- iso: eng
month: '09'
oa_version: None
publication_identifier:
isbn:
- '9781538630815'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Efficient FEM-based simulation of soft robots modeled as kinematic chains
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '1364'
abstract:
- lang: eng
text: We present a computational method for designing wire sculptures consisting
of interlocking wires. Our method allows the computation of aesthetically pleasing
structures that are structurally stable, efficiently fabricatable with a 2D wire
bending machine, and assemblable without the need of additional connectors. Starting
from a set of planar contours provided by the user, our method automatically tests
for the feasibility of a design, determines a discrete ordering of wires at intersection
points, and optimizes for the rest shape of the individual wires to maximize structural
stability under frictional contact. In addition to their application to art, wire
sculptures present an extremely efficient and fast alternative for low-fidelity
rapid prototyping because manufacturing time and required material linearly scales
with the physical size of objects. We demonstrate the effectiveness of our approach
on a varied set of examples, all of which we fabricated.
acknowledgement: This project has received funding from the European Union’s Horizon
2020 research and innovation programme under grant agreement No 645599.
alternative_title:
- ACM Transactions on Graphics
article_number: '86'
author:
- first_name: Eder
full_name: Miguel Villalba, Eder
id: 3FB91342-F248-11E8-B48F-1D18A9856A87
last_name: Miguel Villalba
- first_name: Mathias
full_name: Lepoutre, Mathias
last_name: Lepoutre
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: 'Miguel Villalba E, Lepoutre M, Bickel B. Computational design of stable planar-rod
structures. In: Vol 35. ACM; 2016. doi:10.1145/2897824.2925978'
apa: 'Miguel Villalba, E., Lepoutre, M., & Bickel, B. (2016). Computational
design of stable planar-rod structures (Vol. 35). Presented at the ACM SIGGRAPH,
Anaheim, CA, USA: ACM. https://doi.org/10.1145/2897824.2925978'
chicago: Miguel Villalba, Eder, Mathias Lepoutre, and Bernd Bickel. “Computational
Design of Stable Planar-Rod Structures,” Vol. 35. ACM, 2016. https://doi.org/10.1145/2897824.2925978.
ieee: E. Miguel Villalba, M. Lepoutre, and B. Bickel, “Computational design of stable
planar-rod structures,” presented at the ACM SIGGRAPH, Anaheim, CA, USA, 2016,
vol. 35, no. 4.
ista: Miguel Villalba E, Lepoutre M, Bickel B. 2016. Computational design of stable
planar-rod structures. ACM SIGGRAPH, ACM Transactions on Graphics, vol. 35, 86.
mla: Miguel Villalba, Eder, et al. Computational Design of Stable Planar-Rod
Structures. Vol. 35, no. 4, 86, ACM, 2016, doi:10.1145/2897824.2925978.
short: E. Miguel Villalba, M. Lepoutre, B. Bickel, in:, ACM, 2016.
conference:
end_date: 2016-07-28
location: Anaheim, CA, USA
name: ACM SIGGRAPH
start_date: 2016-07-24
date_created: 2018-12-11T11:51:36Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2021-01-12T06:50:10Z
day: '01'
ddc:
- '006'
department:
- _id: BeBi
doi: 10.1145/2897824.2925978
ec_funded: 1
file:
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checksum: d00c2664a43d945df8876ea0193734e3
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:01Z
date_updated: 2020-07-14T12:44:47Z
file_id: '4853'
file_name: IST-2017-763-v1+1_wirebending.pdf
file_size: 44766392
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file_date_updated: 2020-07-14T12:44:47Z
has_accepted_license: '1'
intvolume: ' 35'
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Preprint
project:
- _id: 25082902-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '645599'
name: Soft-bodied intelligence for Manipulation
publication_status: published
publisher: ACM
publist_id: '5878'
pubrep_id: '763'
quality_controlled: '1'
scopus_import: 1
status: public
title: Computational design of stable planar-rod structures
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2016'
...
---
_id: '1414'
abstract:
- lang: eng
text: In this paper, we present a method to model hyperelasticity that is well suited
for representing the nonlinearity of real-world objects, as well as for estimating
it from deformation examples. Previous approaches suffer several limitations,
such as lack of integrability of elastic forces, failure to enforce energy convexity,
lack of robustness of parameter estimation, or difficulty to model cross-modal
effects. Our method avoids these problems by relying on a general energy-based
definition of elastic properties. The accuracy of the resulting elastic model
is maximized by defining an additive model of separable energy terms, which allow
progressive parameter estimation. In addition, our method supports efficient modeling
of extreme nonlinearities thanks to energy-limiting constraints. We combine our
energy-based model with an optimization method to estimate model parameters from
force-deformation examples, and we show successful modeling of diverse deformable
objects, including cloth, human finger skin, and internal human anatomy in a medical
imaging application.
acknowledgement: This work was funded in part by grants from the Spanish Ministry
of Economy (TIN2012-35840), the European Research Council (ERC Starting Grant no.
280135 Animetrics), and the EU FP7 (project no. 601165 WEARHAP).
author:
- first_name: Eder
full_name: Miguel Villalba, Eder
id: 3FB91342-F248-11E8-B48F-1D18A9856A87
last_name: Miguel Villalba
- first_name: David
full_name: Miraut, David
last_name: Miraut
- first_name: Miguel
full_name: Otaduy, Miguel
last_name: Otaduy
citation:
ama: Miguel Villalba E, Miraut D, Otaduy M. Modeling and estimation of energy-based
hyperelastic objects. Computer Graphics Forum. 2016;35(2):385-396. doi:10.1111/cgf.12840
apa: Miguel Villalba, E., Miraut, D., & Otaduy, M. (2016). Modeling and estimation
of energy-based hyperelastic objects. Computer Graphics Forum. Wiley-Blackwell.
https://doi.org/10.1111/cgf.12840
chicago: Miguel Villalba, Eder, David Miraut, and Miguel Otaduy. “Modeling and Estimation
of Energy-Based Hyperelastic Objects.” Computer Graphics Forum. Wiley-Blackwell,
2016. https://doi.org/10.1111/cgf.12840.
ieee: E. Miguel Villalba, D. Miraut, and M. Otaduy, “Modeling and estimation of
energy-based hyperelastic objects,” Computer Graphics Forum, vol. 35, no.
2. Wiley-Blackwell, pp. 385–396, 2016.
ista: Miguel Villalba E, Miraut D, Otaduy M. 2016. Modeling and estimation of energy-based
hyperelastic objects. Computer Graphics Forum. 35(2), 385–396.
mla: Miguel Villalba, Eder, et al. “Modeling and Estimation of Energy-Based Hyperelastic
Objects.” Computer Graphics Forum, vol. 35, no. 2, Wiley-Blackwell, 2016,
pp. 385–96, doi:10.1111/cgf.12840.
short: E. Miguel Villalba, D. Miraut, M. Otaduy, Computer Graphics Forum 35 (2016)
385–396.
date_created: 2018-12-11T11:51:53Z
date_published: 2016-05-01T00:00:00Z
date_updated: 2021-01-12T06:50:35Z
day: '01'
department:
- _id: BeBi
doi: 10.1111/cgf.12840
intvolume: ' 35'
issue: '2'
language:
- iso: eng
month: '05'
oa_version: None
page: 385 - 396
publication: Computer Graphics Forum
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5792'
quality_controlled: '1'
scopus_import: 1
status: public
title: Modeling and estimation of energy-based hyperelastic objects
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2016'
...