---
_id: '14530'
abstract:
- lang: eng
text: 'Most motions of many-body systems at any scale in nature with sufficient
degrees of freedom tend to be chaotic; reaching from the orbital motion of planets,
the air currents in our atmosphere, down to the water flowing through our pipelines
or the movement of a population of bacteria. To the observer it is therefore intriguing
when a moving collective exhibits order. Collective motion of flocks of birds,
schools of fish or swarms of self-propelled particles or robots have been studied
extensively over the past decades but the mechanisms involved in the transition
from chaos to order remain unclear. Here, the interactions, that in most systems
give rise to chaos, sustain order. In this thesis we investigate mechanisms that
preserve, destabilize or lead to the ordered state. We show that endothelial cells
migrating in circular confinements transition to a collective rotating state and
concomitantly synchronize the frequencies of nucleating actin waves within individual
cells. Consequently, the frequency dependent cell migration speed uniformizes
across the population. Complementary to the WAVE dependent nucleation of traveling
actin waves, we show that in leukocytes the actin polymerization depending on
WASp generates pushing forces locally at stationary patches. Next, in pipe flows,
we study methods to disrupt the self--sustaining cycle of turbulence and therefore
relaminarize the flow. While we find in pulsating flow conditions that turbulence
emerges through a helical instability during the decelerating phase. Finally,
we show quantitatively in brain slices of mice that wild-type control neurons
can compensate the migratory deficits of a genetically modified neuronal sub--population
in the developing cortex. '
acknowledged_ssus:
- _id: M-Shop
- _id: Bio
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Michael
full_name: Riedl, Michael
id: 3BE60946-F248-11E8-B48F-1D18A9856A87
last_name: Riedl
orcid: 0000-0003-4844-6311
citation:
ama: Riedl M. Synchronization in collectively moving active matter. 2023. doi:10.15479/14530
apa: Riedl, M. (2023). Synchronization in collectively moving active matter.
Institute of Science and Technology Austria. https://doi.org/10.15479/14530
chicago: Riedl, Michael. “Synchronization in Collectively Moving Active Matter.”
Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/14530.
ieee: M. Riedl, “Synchronization in collectively moving active matter,” Institute
of Science and Technology Austria, 2023.
ista: Riedl M. 2023. Synchronization in collectively moving active matter. Institute
of Science and Technology Austria.
mla: Riedl, Michael. Synchronization in Collectively Moving Active Matter.
Institute of Science and Technology Austria, 2023, doi:10.15479/14530.
short: M. Riedl, Synchronization in Collectively Moving Active Matter, Institute
of Science and Technology Austria, 2023.
date_created: 2023-11-15T09:59:03Z
date_published: 2023-11-16T00:00:00Z
date_updated: 2023-11-30T10:55:13Z
day: '16'
ddc:
- '530'
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MiSi
doi: 10.15479/14530
file:
- access_level: open_access
checksum: 52e1d0ab6c1abe59c82dfe8c9ff5f83a
content_type: application/pdf
creator: mriedl
date_created: 2023-11-15T09:52:54Z
date_updated: 2023-11-15T09:52:54Z
file_id: '14536'
file_name: Thesis_Riedl_2023_corr.pdf
file_size: 36743942
relation: main_file
success: 1
file_date_updated: 2023-11-15T09:52:54Z
has_accepted_license: '1'
keyword:
- Synchronization
- Collective Movement
- Active Matter
- Cell Migration
- Active Colloids
language:
- iso: eng
month: '11'
oa: 1
oa_version: Updated Version
page: '260'
publication_identifier:
issn:
- 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '10703'
relation: part_of_dissertation
status: public
- id: '10791'
relation: part_of_dissertation
status: public
- id: '7932'
relation: part_of_dissertation
status: public
- id: '461'
relation: part_of_dissertation
status: public
- id: '12726'
relation: old_edition
status: public
status: public
supervisor:
- first_name: Björn
full_name: Hof, Björn
id: 3A374330-F248-11E8-B48F-1D18A9856A87
last_name: Hof
orcid: 0000-0003-2057-2754
title: Synchronization in collectively moving active matter
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '9962'
abstract:
- lang: eng
text: The brain is one of the largest and most complex organs and it is composed
of billions of neurons that communicate together enabling e.g. consciousness.
The cerebral cortex is the largest site of neural integration in the central nervous
system. Concerted radial migration of newly born cortical projection neurons,
from their birthplace to their final position, is a key step in the assembly of
the cerebral cortex. The cellular and molecular mechanisms regulating radial neuronal
migration in vivo are however still unclear. Recent evidence suggests that distinct
signaling cues act cell-autonomously but differentially at certain steps during
the overall migration process. Moreover, functional analysis of genetic mosaics
(mutant neurons present in wild-type/heterozygote environment) using the MADM
(Mosaic Analysis with Double Markers) analyses in comparison to global knockout
also indicate a significant degree of non-cell-autonomous and/or community effects
in the control of cortical neuron migration. The interactions of cell-intrinsic
(cell-autonomous) and cell-extrinsic (non-cell-autonomous) components are largely
unknown. In part of this thesis work we established a MADM-based experimental
strategy for the quantitative analysis of cell-autonomous gene function versus
non-cell-autonomous and/or community effects. The direct comparison of mutant
neurons from the genetic mosaic (cell-autonomous) to mutant neurons in the conditional
and/or global knockout (cell-autonomous + non-cell-autonomous) allows to quantitatively
analyze non-cell-autonomous effects. Such analysis enable the high-resolution
analysis of projection neuron migration dynamics in distinct environments with
concomitant isolation of genomic and proteomic profiles. Using these experimental
paradigms and in combination with computational modeling we show and characterize
the nature of non-cell-autonomous effects to coordinate radial neuron migration.
Furthermore, this thesis discusses recent developments in neurodevelopment with
focus on neuronal polarization and non-cell-autonomous mechanisms in neuronal
migration.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Andi H
full_name: Hansen, Andi H
id: 38853E16-F248-11E8-B48F-1D18A9856A87
last_name: Hansen
citation:
ama: Hansen AH. Cell-autonomous gene function and non-cell-autonomous effects in
radial projection neuron migration. 2021. doi:10.15479/at:ista:9962
apa: Hansen, A. H. (2021). Cell-autonomous gene function and non-cell-autonomous
effects in radial projection neuron migration. Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:9962
chicago: Hansen, Andi H. “Cell-Autonomous Gene Function and Non-Cell-Autonomous
Effects in Radial Projection Neuron Migration.” Institute of Science and Technology
Austria, 2021. https://doi.org/10.15479/at:ista:9962.
ieee: A. H. Hansen, “Cell-autonomous gene function and non-cell-autonomous effects
in radial projection neuron migration,” Institute of Science and Technology Austria,
2021.
ista: Hansen AH. 2021. Cell-autonomous gene function and non-cell-autonomous effects
in radial projection neuron migration. Institute of Science and Technology Austria.
mla: Hansen, Andi H. Cell-Autonomous Gene Function and Non-Cell-Autonomous Effects
in Radial Projection Neuron Migration. Institute of Science and Technology
Austria, 2021, doi:10.15479/at:ista:9962.
short: A.H. Hansen, Cell-Autonomous Gene Function and Non-Cell-Autonomous Effects
in Radial Projection Neuron Migration, Institute of Science and Technology Austria,
2021.
date_created: 2021-08-29T12:36:50Z
date_published: 2021-09-02T00:00:00Z
date_updated: 2023-09-22T09:58:30Z
day: '02'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: SiHi
doi: 10.15479/at:ista:9962
file:
- access_level: closed
checksum: 66b56f5b988b233dc66a4f4b4fb2cdfe
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: ahansen
date_created: 2021-08-30T09:17:39Z
date_updated: 2022-09-03T22:30:04Z
embargo_to: open_access
file_id: '9971'
file_name: Thesis_Hansen.docx
file_size: 10629190
relation: source_file
- access_level: open_access
checksum: 204fa40321a1c6289b68c473634c4bf3
content_type: application/pdf
creator: ahansen
date_created: 2021-08-30T09:29:44Z
date_updated: 2022-09-03T22:30:04Z
embargo: 2022-09-02
file_id: '9972'
file_name: Thesis_Hansen_PDFA-1a.pdf
file_size: 13457469
relation: main_file
file_date_updated: 2022-09-03T22:30:04Z
has_accepted_license: '1'
keyword:
- Neuronal migration
- Non-cell-autonomous
- Cell-autonomous
- Neurodevelopmental disease
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '182'
project:
- _id: 2625A13E-B435-11E9-9278-68D0E5697425
grant_number: '24812'
name: Molecular Mechanisms of Radial Neuronal Migration
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '8569'
relation: part_of_dissertation
status: public
- id: '960'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Simon
full_name: Hippenmeyer, Simon
id: 37B36620-F248-11E8-B48F-1D18A9856A87
last_name: Hippenmeyer
orcid: 0000-0003-2279-1061
title: Cell-autonomous gene function and non-cell-autonomous effects in radial projection
neuron migration
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2021'
...
---
_id: '6891'
abstract:
- lang: eng
text: "While cells of mesenchymal or epithelial origin perform their effector functions
in a purely anchorage dependent manner, cells derived from the hematopoietic lineage
are not committed to operate only within a specific niche. Instead, these cells
are able to function autonomously of the molecular composition in a broad range
of tissue compartments. By this means, cells of the hematopoietic lineage retain
the capacity to disseminate into connective tissue and recirculate between organs,
building the foundation for essential processes such as tissue regeneration or
immune surveillance. \r\nCells of the immune system, specifically leukocytes,
are extraordinarily good at performing this task. These cells are able to flexibly
shift their mode of migration between an adhesion-mediated and an adhesion-independent
manner, instantaneously accommodating for any changes in molecular composition
of the external scaffold. The key component driving directed leukocyte migration
is the chemokine receptor 7, which guides the cell along gradients of chemokine
ligand. Therefore, the physical destination of migrating leukocytes is purely
deterministic, i.e. given by global directional cues such as chemokine gradients.
\r\nNevertheless, these cells typically reside in three-dimensional scaffolds
of inhomogeneous complexity, raising the question whether cells are able to locally
discriminate between multiple optional migration routes. Current literature provides
evidence that leukocytes, specifically dendritic cells, do indeed probe their
surrounding by virtue of multiple explorative protrusions. However, it remains
enigmatic how these cells decide which one is the more favorable route to follow
and what are the key players involved in performing this task. Due to the heterogeneous
environment of most tissues, and the vast adaptability of migrating leukocytes,
at this time it is not clear to what extent leukocytes are able to optimize their
migratory strategy by adapting their level of adhesiveness. And, given the fact
that leukocyte migration is characterized by branched cell shapes in combination
with high migration velocities, it is reasonable to assume that these cells require
fine tuned shape maintenance mechanisms that tightly coordinate protrusion and
adhesion dynamics in a spatiotemporal manner. \r\nTherefore, this study aimed
to elucidate how rapidly migrating leukocytes opt for an ideal migratory path
while maintaining a continuous cell shape and balancing adhesive forces to efficiently
navigate through complex microenvironments. \r\nThe results of this study unraveled
a role for the microtubule cytoskeleton in promoting the decision making process
during path finding and for the first time point towards a microtubule-mediated
function in cell shape maintenance of highly ramified cells such as dendritic
cells. Furthermore, we found that migrating low-adhesive leukocytes are able to
instantaneously adapt to increased tensile load by engaging adhesion receptors.
This response was only occurring tangential to the substrate while adhesive properties
in the vertical direction were not increased. As leukocytes are primed for rapid
migration velocities, these results demonstrate that leukocyte integrins are able
to confer a high level of traction forces parallel to the cell membrane along
the direction of migration without wasting energy in gluing the cell to the substrate.
\r\nThus, the data in the here presented thesis provide new insights into the
pivotal role of cytoskeletal dynamics and the mechanisms of force transduction
during leukocyte migration. \r\nThereby the here presented results help to further
define fundamental principles underlying leukocyte migration and open up potential
therapeutic avenues of clinical relevance.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Aglaja
full_name: Kopf, Aglaja
id: 31DAC7B6-F248-11E8-B48F-1D18A9856A87
last_name: Kopf
orcid: 0000-0002-2187-6656
citation:
ama: Kopf A. The implication of cytoskeletal dynamics on leukocyte migration. 2019.
doi:10.15479/AT:ISTA:6891
apa: Kopf, A. (2019). The implication of cytoskeletal dynamics on leukocyte migration.
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:6891
chicago: Kopf, Aglaja. “The Implication of Cytoskeletal Dynamics on Leukocyte Migration.”
Institute of Science and Technology Austria, 2019. https://doi.org/10.15479/AT:ISTA:6891.
ieee: A. Kopf, “The implication of cytoskeletal dynamics on leukocyte migration,”
Institute of Science and Technology Austria, 2019.
ista: Kopf A. 2019. The implication of cytoskeletal dynamics on leukocyte migration.
Institute of Science and Technology Austria.
mla: Kopf, Aglaja. The Implication of Cytoskeletal Dynamics on Leukocyte Migration.
Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6891.
short: A. Kopf, The Implication of Cytoskeletal Dynamics on Leukocyte Migration,
Institute of Science and Technology Austria, 2019.
date_created: 2019-09-19T08:19:44Z
date_published: 2019-07-24T00:00:00Z
date_updated: 2023-10-18T08:49:17Z
day: '24'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: MiSi
doi: 10.15479/AT:ISTA:6891
file:
- access_level: closed
checksum: 00d100d6468e31e583051e0a006b640c
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: akopf
date_created: 2019-10-15T05:28:42Z
date_updated: 2020-10-17T22:30:03Z
embargo_to: open_access
file_id: '6950'
file_name: Kopf_PhD_Thesis.docx
file_size: 74735267
relation: source_file
- access_level: open_access
checksum: 5d1baa899993ae6ca81aebebe1797000
content_type: application/pdf
creator: akopf
date_created: 2019-10-15T05:28:47Z
date_updated: 2020-10-17T22:30:03Z
embargo: 2020-10-16
file_id: '6951'
file_name: Kopf_PhD_Thesis1.pdf
file_size: 52787224
relation: main_file
file_date_updated: 2020-10-17T22:30:03Z
has_accepted_license: '1'
keyword:
- cell biology
- immunology
- leukocyte
- migration
- microfluidics
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: '171'
project:
- _id: 265E2996-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W01250-B20
name: Nano-Analytics of Cellular Systems
publication_identifier:
eissn:
- 2663-337X
isbn:
- 978-3-99078-002-2
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
link:
- relation: press_release
url: https://ist.ac.at/en/news/feeling-like-a-cell/
record:
- id: '6328'
relation: part_of_dissertation
status: public
- id: '15'
relation: part_of_dissertation
status: public
- id: '6877'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Michael K
full_name: Sixt, Michael K
id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87
last_name: Sixt
orcid: 0000-0002-6620-9179
title: The implication of cytoskeletal dynamics on leukocyte migration
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '6354'
abstract:
- lang: eng
text: Blood platelets are critical for hemostasis and thrombosis, but also play
diverse roles during immune responses. We have recently reported that platelets
migrate at sites of infection in vitro and in vivo. Importantly, platelets use
their ability to migrate to collect and bundle fibrin (ogen)-bound bacteria accomplishing
efficient intravascular bacterial trapping. Here, we describe a method that allows
analyzing platelet migration in vitro, focusing on their ability to collect bacteria
and trap bacteria under flow.
acknowledgement: ' FöFoLe project 947 (F.G.), the Friedrich-Baur-Stiftung project
41/16 (F.G.)'
article_number: e3018
author:
- first_name: Shuxia
full_name: Fan, Shuxia
last_name: Fan
- first_name: Michael
full_name: Lorenz, Michael
last_name: Lorenz
- first_name: Steffen
full_name: Massberg, Steffen
last_name: Massberg
- first_name: Florian R
full_name: Gärtner, Florian R
id: 397A88EE-F248-11E8-B48F-1D18A9856A87
last_name: Gärtner
orcid: 0000-0001-6120-3723
citation:
ama: Fan S, Lorenz M, Massberg S, Gärtner FR. Platelet migration and bacterial trapping
assay under flow. Bio-Protocol. 2018;8(18). doi:10.21769/bioprotoc.3018
apa: Fan, S., Lorenz, M., Massberg, S., & Gärtner, F. R. (2018). Platelet migration
and bacterial trapping assay under flow. Bio-Protocol. Bio-Protocol. https://doi.org/10.21769/bioprotoc.3018
chicago: Fan, Shuxia, Michael Lorenz, Steffen Massberg, and Florian R Gärtner. “Platelet
Migration and Bacterial Trapping Assay under Flow.” Bio-Protocol. Bio-Protocol,
2018. https://doi.org/10.21769/bioprotoc.3018.
ieee: S. Fan, M. Lorenz, S. Massberg, and F. R. Gärtner, “Platelet migration and
bacterial trapping assay under flow,” Bio-Protocol, vol. 8, no. 18. Bio-Protocol,
2018.
ista: Fan S, Lorenz M, Massberg S, Gärtner FR. 2018. Platelet migration and bacterial
trapping assay under flow. Bio-Protocol. 8(18), e3018.
mla: Fan, Shuxia, et al. “Platelet Migration and Bacterial Trapping Assay under
Flow.” Bio-Protocol, vol. 8, no. 18, e3018, Bio-Protocol, 2018, doi:10.21769/bioprotoc.3018.
short: S. Fan, M. Lorenz, S. Massberg, F.R. Gärtner, Bio-Protocol 8 (2018).
date_created: 2019-04-29T09:40:33Z
date_published: 2018-09-20T00:00:00Z
date_updated: 2021-01-12T08:07:12Z
day: '20'
ddc:
- '570'
department:
- _id: MiSi
doi: 10.21769/bioprotoc.3018
ec_funded: 1
file:
- access_level: open_access
checksum: d4588377e789da7f360b553ae02c5119
content_type: application/pdf
creator: dernst
date_created: 2019-04-30T08:04:33Z
date_updated: 2020-07-14T12:47:28Z
file_id: '6360'
file_name: 2018_BioProtocol_Fan.pdf
file_size: 2928337
relation: main_file
file_date_updated: 2020-07-14T12:47:28Z
has_accepted_license: '1'
intvolume: ' 8'
issue: '18'
keyword:
- Platelets
- Cell migration
- Bacteria
- Shear flow
- Fibrinogen
- E. coli
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 260AA4E2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '747687'
name: Mechanical Adaptation of Lamellipodial Actin Networks in Migrating Cells
publication: Bio-Protocol
publication_identifier:
issn:
- 2331-8325
publication_status: published
publisher: Bio-Protocol
quality_controlled: '1'
status: public
title: Platelet migration and bacterial trapping assay under flow
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 8
year: '2018'
...
---
_id: '5570'
abstract:
- lang: eng
text: Matlab script to calculate the forward migration indexes (/) from
TrackMate spot-statistics files.
article_processing_charge: No
author:
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
citation:
ama: Hauschild R. Forward migration indexes. 2017. doi:10.15479/AT:ISTA:75
apa: Hauschild, R. (2017). Forward migration indexes. Institute of Science and Technology
Austria. https://doi.org/10.15479/AT:ISTA:75
chicago: Hauschild, Robert. “Forward Migration Indexes.” Institute of Science and
Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:75.
ieee: R. Hauschild, “Forward migration indexes.” Institute of Science and Technology
Austria, 2017.
ista: Hauschild R. 2017. Forward migration indexes, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:75.
mla: Hauschild, Robert. Forward Migration Indexes. Institute of Science and
Technology Austria, 2017, doi:10.15479/AT:ISTA:75.
short: R. Hauschild, (2017).
datarep_id: '75'
date_created: 2018-12-12T12:31:35Z
date_published: 2017-10-04T00:00:00Z
date_updated: 2024-02-21T13:47:14Z
day: '04'
ddc:
- '570'
department:
- _id: Bio
doi: 10.15479/AT:ISTA:75
file:
- access_level: open_access
checksum: cb7a2fa622460eca6231d659ce590e32
content_type: application/octet-stream
creator: system
date_created: 2018-12-12T13:02:29Z
date_updated: 2020-07-14T12:47:04Z
file_id: '5596'
file_name: IST-2017-75-v1+1_FMI.m
file_size: 799
relation: main_file
file_date_updated: 2020-07-14T12:47:04Z
has_accepted_license: '1'
keyword:
- Cell migration
- tracking
- forward migration index
- FMI
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '10'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
status: public
title: Forward migration indexes
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
year: '2017'
...
---
_id: '5555'
abstract:
- lang: eng
text: This FIJI script calculates the population average of the migration speed
as a function of time of all cells from wide field microscopy movies.
article_processing_charge: No
author:
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
citation:
ama: Hauschild R. Fiji script to determine average speed and direction of migration
of cells. 2016. doi:10.15479/AT:ISTA:44
apa: Hauschild, R. (2016). Fiji script to determine average speed and direction
of migration of cells. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:44
chicago: Hauschild, Robert. “Fiji Script to Determine Average Speed and Direction
of Migration of Cells.” Institute of Science and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:44.
ieee: R. Hauschild, “Fiji script to determine average speed and direction of migration
of cells.” Institute of Science and Technology Austria, 2016.
ista: Hauschild R. 2016. Fiji script to determine average speed and direction of
migration of cells, Institute of Science and Technology Austria, 10.15479/AT:ISTA:44.
mla: Hauschild, Robert. Fiji Script to Determine Average Speed and Direction
of Migration of Cells. Institute of Science and Technology Austria, 2016,
doi:10.15479/AT:ISTA:44.
short: R. Hauschild, (2016).
datarep_id: '44'
date_created: 2018-12-12T12:31:31Z
date_published: 2016-07-08T00:00:00Z
date_updated: 2024-02-21T13:50:06Z
day: '08'
ddc:
- '570'
department:
- _id: Bio
doi: 10.15479/AT:ISTA:44
file:
- access_level: open_access
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creator: system
date_created: 2018-12-12T13:03:03Z
date_updated: 2020-07-14T12:47:02Z
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file_name: IST-2016-44-v1+1_migrationAnalyzer.zip
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keyword:
- cell migration
- wide field microscopy
- FIJI
month: '07'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
status: public
title: Fiji script to determine average speed and direction of migration of cells
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type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2016'
...