APA (7th ed.) Citation

N, T., GB, M., ND, C., P, H., E, T., A, L., & A, Z. (2026). Towards scalable deep learning for automated microscopy in harmful algal bloom monitoring: Data-centric workflow and multi-region generalisation. Water research, 301, 126038. https://doi.org/10.1016/j.watres.2026.126038

Chicago Style (17th ed.) Citation

N, Taheriashtiani, McGregor GB, Crosbie ND, Hobson P, Trotta E, Lintern A, and Zamyadi A. "Towards Scalable Deep Learning for Automated Microscopy in Harmful Algal Bloom Monitoring: Data-centric Workflow and Multi-region Generalisation." Water Research 301 (2026): 126038. https://doi.org/10.1016/j.watres.2026.126038.

MLA (9th ed.) Citation

N, Taheriashtiani, et al. "Towards Scalable Deep Learning for Automated Microscopy in Harmful Algal Bloom Monitoring: Data-centric Workflow and Multi-region Generalisation." Water Research, vol. 301, 2026, p. 126038, https://doi.org/10.1016/j.watres.2026.126038.