Publikationen | Hochschule Flensburg

2026

A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis

Ivan, Z., Hirling, D., Grexa, I., Ammeling, J., Molnar, C., Micsik, T., … Horvath, P. (2026). A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis. Scientific Data. http://doi.org/10.1038/s41597-026-07007-7

Abstract

Abstract Mitosis detection represents a critical task in digital pathology, as it plays an important role in the tumor grading and prognosis of patients. Manual determination is a labor-intensive task for practitioners with high interobserver variability, thus, automation is a priority. There has been substantial progress towards creating robust mitosis detection algorithms, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. Also, there has been growing interest in the molecular characterization of mitosis to achieve a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. We introduce a new mitotic figure dataset annotated with subphase information based on the MIDOG++ dataset as well as a previously unrepresented tumor domain to enhance the diversity and applicability. We envision a new perspective for domain generalization by improving model performance with subtyping mitosis, complemented with an atypical mitotic class. Our work has implications in two main areas: subtyping information can provide helpful information in mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of subphases.

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Optimisation of the Hydraulic Variable Inertia Flywheel for Specific Energy

Rettig, A., Reese, L., & Jauch, C. (2026). Optimisation of the Hydraulic Variable Inertia Flywheel for Specific Energy. In 19. Symposium Energieinnovation 2026. Östereich, Graz. http://doi.org/https://doi.org/10.13140/RG.2.2.10150.59203

Abstract

The ongoing transition towards inverter-based generation is significantly reducing conventional rotational inertia in power systems, leading to increased rates of change of frequency. To address this challenge, the Hydraulic Variable Inertia Flywheel (HVI-FW) represents a novel alternative for distributed and inherent inertia provision. This paper presents a design tool developed to optimize the geometric parameters of the novel flywheel, with respect to specific energy. A parameter study is conducted by varying key geometric dimensions, such as radius and height. The results demonstrate that the HVI-FW can achieve significantly higher specific energy than conventional flywheels, particularly for small radii, making it well suited for coupling with small, synchronously rotating electrical machines. The findings highlight the potential of the HVI-FW as an effective solution for providing distributed inertia in future low-inertia power systems.