Scientific Service Units

Nine facilities provide research infrastructure on campus.

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The Scientific Service Units (SSUs) are one of Institute of Science and Technology Austria (ISTA)´s strategic key factors. These facilities pool scientific infrastructure used by more than one research group to avoid a duplication of efforts and expenses. Their cutting-edge equipment and expert services allow scientists to perform research at an internationally competitive level.

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Over the years, the Scientific Service Units grew up to more than 140 employees in nine facilities. In order to meet the needs of existing research groups and to support the start-up of new faculty members, they always strive to adapt and expand their services. Constant learning ensures that they provide excellent know-how for world-class research.

The Scientific Service Units act as an interdisciplinary platform that, in accordance with the mission statement, maximizes the sharing of equipment among multiple research groups.

List of SSU Facilities

Publications with SSU Co-Authorship

Mondal S, Jethwa RB, Pant B, Hauschild R, Freunberger SA. 2024. Singlet oxygen in non-aqueous oxygen redox: Direct spectroscopic evidence for formation pathways and reliability of chemical probes. Faraday Discussions. 248, 175–189. View

Zavadakova A, Vistejnova L, Belinova T, Tichanek F, Bilikova D, Mouton PR. 2023. Novel stereological method for estimation of cell counts in 3D collagen scaffolds. Scientific Reports. 13(1), 7959. View

Huljev K, Shamipour S, Nunes Pinheiro DC, Preusser F, Steccari I, Sommer CM, Naik S, Heisenberg C-PJ. 2023. A hydraulic feedback loop between mesendoderm cell migration and interstitial fluid relocalization promotes embryonic axis formation in zebrafish. Developmental Cell. 58(7), 582–596.e7. View

Zeller P, Yeung J, Viñas Gaza H, de Barbanson BA, Bhardwaj V, Florescu M, van der Linden R, van Oudenaarden A. 2023. Single-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis. Nature Genetics. 55, 333–345. View

Fäßler F, Javoor M, Datler J, Döring H, Hofer F, Dimchev GA, Hodirnau V-V, Faix J, Rottner K, Schur FK. 2023. ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. Science Advances. 9(3), add6495. View

Pertl F, Sobarzo Ponce JCA, Shafeek LB, Cramer T, Waitukaitis SR. 2022. Quantifying nanoscale charge density features of contact-charged surfaces with an FEM/KPFM-hybrid approach. Physical Review Materials. 6(12), 125605. View

Prehal C, Mondal S, Lovicar L, Freunberger SA. 2022. Exclusive solution discharge in Li-O₂ batteries? ACS Energy Letters. 7(9), 3112–3119. View

Chang C, Liu Y, Lee S, Spadaro M, Koskela KM, Kleinhanns T, Costanzo T, Arbiol J, Brutchey RL, Ibáñez M. 2022. Surface functionalization of surfactant-free particles: A strategy to tailor the properties of nanocomposites for enhanced thermoelectric performance. Angewandte Chemie – International Edition. 61(35), e202207002. View

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Publications with SSU Acknowledgement

Ritzau-Jost A, Gsell F, Sell J, Sachs S, Montanaro-Punzengruber J-C, Kirmann T, Maaß S, Irani SR, Werner C, Geis C, Sauer M, Shigemoto R, Hallermann S. 2024. LGI1 autoantibodies enhance synaptic transmission by presynaptic Kv1 loss and increased action potential broadening. Neurology, Neuroimmunology and Neuroinflammation. 11(5), e200284. View

Miranda O, Cheung GT, Hippenmeyer S. 2024.Morphological Analysis of Neurons and Glia Using Mosaic Analysis with Double Markers. In: Neuronal Morphogenesis. Methods in Molecular Biology, vol. 2831, 283–299. View

Sagi O, Crippa A, Valentini M, Janik M, Baghumyan L, Fabris G, Kapoor L, Hassani F, Fink JM, Calcaterra S, Chrastina D, Isella G, Katsaros G. 2024. A gate tunable transmon qubit in planar Ge. Nature Communications. 15, 6400. View

Lenton IC, Pertl F, Shafeek LB, Waitukaitis SR. 2024. Beyond the blur: Using experimentally determined point spread functions to improve scanning Kelvin probe imaging. Journal of Applied Physics. 136(4), 045305. View

Severin B, Lennon DT, Camenzind LC, Vigneau F, Fedele F, Jirovec D, Ballabio A, Chrastina D, Isella G, de Kruijf M, Carballido MJ, Svab S, Kuhlmann AV, Geyer S, Froning FNM, Moon H, Osborne MA, Sejdinovic D, Katsaros G, Zumbühl DM, Briggs GAD, Ares N. 2024. Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning. Scientific Reports. 14, 17281. View

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