| Porous translucent electrodes enhance current generation from photosynthetic biofilms T Wenzel, D Härtter, P Bombelli, CJ Howe, U Steiner Nature communications 9 (1), 1299, 2018 | 93 | 2018 |
| DeepProjection: Specific and robust projection of curved 2D tissue sheets from 3D microscopy using deep learning D Haertter, X Wang, SM Fogerson, N Ramkumar, JM Crawford, KD Poss, ... Development 149 (21), dev200621, 2022 | 6 | 2022 |
| DeepProjection: Rapid and structure-specific projections of tissue sheets embedded in 3D microscopy stacks using deep learning D Haertter, X Wang, SM Fogerson, N Ramkumar, JM Crawford, KD Poss, ... bioRxiv, 2021.11. 17.468809, 2021 | 4 | 2021 |
| A minimal model predicts cell shapes and tissue mechanics in the amnioserosa during dorsal closure I Tah, D Haertter, J Crawford, DP Kiehart, C Schmidt, AJW Liu Biophysical Journal 121 (3), 263a, 2022 | 1 | 2022 |
| Drebrin-like protein regulates body bending of C. elegans via suppression of NCA cation leak channels E Butkevich, P Weist, D Härtter, DR Klopfenstein, R Garces, CF Schmidt bioRxiv, 2019.12. 12.874289, 2019 | 1 | 2019 |
| Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure I Tah, D Haertter, JM Crawford, DP Kiehart, CF Schmidt, AJ Liu arXiv preprint arXiv:2312.12926, 2023 | | 2023 |
| Towards an active matter perspective on sarcomere dynamics in cardiomyocytes D Härtter | | 2023 |
| The secret life of sarcomeres: stochastic heterogeneity of sarcomeres in beating stem-cell derived cardiomyocytes C Schmidt, D Haertter, WH Zimmermann, L Hauke, T Driehorst, B Berecic, ... APS March Meeting Abstracts 2023, W14. 006, 2023 | | 2023 |
| Real-Time Super-Resolution Analysis of Sarcomere Motion Reveals Context-Dependent Stochastic Heterogeneity in Induced Pluripotent Stem Cell-Derived Cardiomyocytes D Haertter, L Hauke, CF Schmidt, WH Zimmermann Circulation 146 (Suppl_1), A14927-A14927, 2022 | | 2022 |
| Developing epithelial tissues as active materials: Tracking cell dynamics in dorsal closure using machine learning D Haertter, S Fogerson, J Crawford, D Kiehart, C Schmidt APS March Meeting Abstracts 2021, B11. 001, 2021 | | 2021 |
| Dorsal closure in numbers: quantification of epithelial cell oscillations using machine learning D Haertter, D Rhodes, J Crawford, D Kiehart, C Schmidt Bulletin of the American Physical Society 65, 2020 | | 2020 |
| Mechanical competition leads to dynamic instabilities and heterogeneity in stem-cell derived cardiomyocytes D Härtter, T Driehorst, W Zimmermann, C Schmidt APS March Meeting Abstracts 2019, B66. 012, 2019 | | 2019 |
