Andreas Milias Argeitis

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Telefoon+31 50 363 6225, +31 50 363 4165
E-mailA.Milias.Argeitisrugnl

Nijenborgh4, Gebouw 5114, ruimte 0038
9747 AG Groningen
Netherlands

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23 Article
7 Conference contribution
2 Working paper
1 Chapter
Meer
- 1 Comment/Letter to the editor

A convolutional neural network for segmentation of yeast cells without manual training annotations
Kruitbosch, H., Mzayek, Y., Omlor, S., Guerra, P. & Milias-Argeitis, A., 1-mrt-2022, In: Bioinformatics (Oxford, England). 38, 5, blz. 1427-1433 7 blz., btab835.
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

43 Downloads (Pure)
Systematic In Vivo Characterization of Fluorescent Protein Maturation in Budding Yeast
Guerra, P., Vuillemenot, L-A., Rae, B., Ladyhina, V. & Milias-Argeitis, A., apr-2022, In: ACS Synthetic Biology. 11, 3, blz. 1129-1141 13 blz., acssynbio.1c00387.
Onderzoeksoutput › Academic › peer review

Open Access
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17 Downloads (Pure)
The timing of Start is determined primarily by increased synthesis of the Cln3 activator rather than dilution of the Whi5 inhibitor
Litsios, A., Goswami, P., Terpstra, H. M., Coffin, C., Vuillemenot, L-A., Rovetta, M., Ghazal, G., Guerra, P., Buczak, K., Schmidt, A., Tollis, S., Tyers, M., Royer, C. A., Milias-Argeitis, A. & Heinemann, M., 1-mei-2022, In: Molecular Biology of the Cell. 33, 5, 14 blz., rp2.
Onderzoeksoutput › Academic › peer review
Moment-based uncertainty propagation for deterministic biochemical network models with rational reaction rates
Kurdyaeva, T. & Milias Argeitis, A., 2021, Proceedings of the European Control Conference 2021. EUCA
Onderzoeksoutput › Academic › peer review
Uncertainty propagation for deterministic models of biochemical networks using moment equations and the extended Kalman filter
Kurdyaeva, T. & Milias-Argeitis, A., aug-2021, In: Journal of the Royal Society Interface. 18, 181, 20210331.
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

58 Downloads (Pure)

Dataset Figure_1: Determination of Whi5 concentration with widefield fluorescence microscopy may be confounded by photobleaching
Litsios, A. (Contributor), Goswami, P. (Contributor), Terpstra, H. (Contributor), Coffin, C. (Contributor), Vuillemenot, L. P. E. (Contributor), Rovetta, M. (Contributor), Ghazal, G. (Contributor), Guerra, P. (Contributor), Buczak, K. (Contributor), Schmidt, A. (Contributor), Tollis, S. (Contributor), Tyers, M. (Contributor), Royer, C. A. (Contributor), Milias Argeitis, A. (Contributor) & Heinemann, M. (Contributor), DataverseNL, 21-feb-2022
DOI: 10.34894/swrbyr
Dataset
Dataset Figure_4: Nuclear Whi5-GFP intensity versus time from repeated imaging of the same individual cells
Litsios, A. (Contributor), Goswami, P. (Contributor), Terpstra, H. (Contributor), Coffin, C. (Contributor), Vuillemenot, L. P. E. (Contributor), Rovetta, M. (Contributor), Ghazal, G. (Contributor), Guerra, P. (Contributor), Buczak, K. (Contributor), Schmidt, A. (Contributor), Tollis, S. (Contributor), Tyers, M. (Contributor), Royer, C. A. (Contributor), Milias Argeitis, A. (Contributor) & Heinemann, M. (Contributor), DataverseNL, 21-feb-2022
DOI: 10.34894/ivwack
Dataset
Additional file 2 of Parameter inference for stochastic single-cell dynamics from lineage tree data
Kuzmanovska, I. (Contributor), Milias Argeitis, A. (Contributor), Mikelson, J. (Contributor), Zechner, C. (Contributor) & Khammash, M. (Contributor), University of Groningen, 26-apr-2017
DOI: 10.6084/m9.figshare.c.3756902_d2.v1
Dataset
Dataset Figure_2: Determination of nuclear Whi5 concentration by widefield fluorescence microscopy is confounded by non-proportional scaling of the nuclear-to-cell volume
Litsios, A. (Contributor), Goswami, P. (Contributor), Terpstra, H. (Contributor), Coffin, C. (Contributor), Vuillemenot, L. P. E. (Contributor), Rovetta, M. (Contributor), Ghazal, G. (Contributor), Guerra, P. (Contributor), Buczak, K. (Contributor), Schmidt, A. (Contributor), Tollis, S. (Contributor), Tyers, M. (Contributor), Royer, C. A. (Contributor), Milias Argeitis, A. (Contributor) & Heinemann, M. (Contributor), DataverseNL, 24-feb-2022
DOI: 10.34894/tfc012
Dataset
Dataset Figure_5: Whi5-GFP intensity versus size and time in a synchronous G1 population
Litsios, A. (Contributor), Goswami, P. (Contributor), Terpstra, H. (Contributor), Coffin, C. (Contributor), Vuillemenot, L. P. E. (Contributor), Rovetta, M. (Contributor), Ghazal, G. (Contributor), Guerra, P. (Contributor), Buczak, K. (Contributor), Schmidt, A. (Contributor), Tollis, S. (Contributor), Tyers, M. (Contributor), Royer, C. A. (Contributor), Milias Argeitis, A. (Contributor) & Heinemann, M. (Contributor), DataverseNL, 21-feb-2022
DOI: 10.34894/hnwbym
Dataset

Synthetic data speed up yeast research
Andreas Milias Argeitis
23/02/2022
1 item van Media-aandacht
Pers / media: Activiteiten met een maatschappelijk belang › Popular
Synthetische data versnellen onderzoek naar gist
Andreas Milias Argeitis
23/02/2022
1 item van Media-aandacht
Pers / media: Activiteiten met een maatschappelijk belang › Popular
Onderzoek naar de celcyclus van gistcellen naar hoger plan door Artificial Intelligence
Andreas Milias Argeitis & Herbert Kruitbosch
07/12/2020
1 item van Media-aandacht
Pers / media: Activiteiten met een maatschappelijk belang › Popular
Team iGEM Groningen 2020 wint gouden medaille
Andreas Milias Argeitis, Sonja Billerbeck & Dirk-Jan Scheffers
25/11/2020
1 item van Media-aandacht
Pers / media: Activiteiten met een maatschappelijk belang › Popular
Studenten verjagen aardappelparasiet
Dirk-Jan Scheffers, Sonja Billerbeck & Andreas Milias Argeitis
15/06/2020
1 item van Media-aandacht
Pers / media: Activiteiten met een maatschappelijk belang › Popular

NWO Vidi Grant
Milias Argeitis, Andreas (Recipient), mei-2018
Prijs: Fellowship awarded competitively › Academic

Andreas Milias Argeitis

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A convolutional neural network for segmentation of yeast cells without manual training annotations

Systematic In Vivo Characterization of Fluorescent Protein Maturation in Budding Yeast

The timing of Start is determined primarily by increased synthesis of the Cln3 activator rather than dilution of the Whi5 inhibitor

Moment-based uncertainty propagation for deterministic biochemical network models with rational reaction rates

Uncertainty propagation for deterministic models of biochemical networks using moment equations and the extended Kalman filter

Dataset Figure_1: Determination of Whi5 concentration with widefield fluorescence microscopy may be confounded by photobleaching

Dataset Figure_4: Nuclear Whi5-GFP intensity versus time from repeated imaging of the same individual cells

Additional file 2 of Parameter inference for stochastic single-cell dynamics from lineage tree data

Dataset Figure_2: Determination of nuclear Whi5 concentration by widefield fluorescence microscopy is confounded by non-proportional scaling of the nuclear-to-cell volume

Dataset Figure_5: Whi5-GFP intensity versus size and time in a synchronous G1 population

Synthetic data speed up yeast research

Synthetische data versnellen onderzoek naar gist

Onderzoek naar de celcyclus van gistcellen naar hoger plan door Artificial Intelligence

Team iGEM Groningen 2020 wint gouden medaille

Studenten verjagen aardappelparasiet

NWO Vidi Grant

Andreas Milias Argeitis

Netwerk

Onderzoeksoutput

Datasets

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