Profiles
-
-
Markus Kästner
- Institute of Measurement and Control Engineering - Group Leader, Researcher
- CRC 871 Regeneration of Complex Capital Goods - Management
Person: Academic
-
Research output
-
Automated keypoint definition for surgical instruments
Wiese, L. V., Hinz, L., Philippe , K. & Neuhaus , M., 14 Mar 2026, In: Proceedings on Automation in Medical Engineering. 3, 1, 2 p., 2522.Research output: Contribution to journal › Conference article › Research › peer review
Open Access -
Illumination Sensor for Reflection-Based Characterisation of Technical Surfaces
Sliti, T., Melchert, N. F., Middendorf, P., Hedrich, K., Reithmeier, E. & Kästner, M., 14 Feb 2026, In: Sensors. 26, 4, 1256.Research output: Contribution to journal › Article › Research › peer review
Open Access -
Towards the measurement of porous materials: a comparison between computed X-ray tomography and serial sectioning
Friedrich, L. O., Stegmann, J., Guissem, O., Hinz, L., Mevert, J., Klose, C., Maier, H. J. & Seewig, J., 19 Jan 2026, In: Production Engineering. 20, 1, 34.Research output: Contribution to journal › Article › Research › peer review
Open Access
-
Collaborative Research Centre 1153/3, transfer project T07: Increasing the resource efficiency of forging processes through inline defect detection of forging-hot components
Hinz, L. (Principal Investigator), Uhe, J. (Principal Investigator) & Behrens, B.-A. (Principal Investigator)
1 Oct 2025 → 30 Sept 2028
Project: Transfer
-
HyPo: Collaborative Research Centre-Transregio 375, sub-project B03: In situ characterisation of additively manufactured hybrid and porous components
Kästner, M. (Principal Investigator)
1 Apr 2024 → 31 Dec 2026
Project: Research
-
HyPo: Collaborative Research Centre-Transregio 375, sub-project C03: Characterisation of hybrid porous materials for process design
Hinz, L. (Principal Investigator) & Seewig, J. (Principal Investigator)
1 Apr 2024 → 31 Dec 2026
Project: Research
Datasets
-
Micro-Topo-Dataset
Siemens, S. (Creator), Forschungsdaten-Repositorium der LUH, 2023
DOI: 10.25835/pngok8op, https://data.uni-hannover.de/dataset/89bc917c-038e-445e-ba9a-b95dd87c0515
Dataset