APA (7th ed.) Citation

Thiede, B., Schlenczek, O., Stieger, K., Ecker, A., Bodenschatz, E., & Bagheri, G. (2025). In-line holographic droplet imaging: Accelerated classification with convolutional neural networks and quantitative experimental validation. Atmospheric Measurement Techniques, 18(21), 6291. https://doi.org/10.5194/amt-18-6291-2025

Chicago Style (17th ed.) Citation

Thiede, Birte, Oliver Schlenczek, Katja Stieger, Alexander Ecker, Eberhard Bodenschatz, and Gholamhossein Bagheri. "In-line Holographic Droplet Imaging: Accelerated Classification with Convolutional Neural Networks and Quantitative Experimental Validation." Atmospheric Measurement Techniques 18, no. 21 (2025): 6291. https://doi.org/10.5194/amt-18-6291-2025.

MLA (9th ed.) Citation

Thiede, Birte, et al. "In-line Holographic Droplet Imaging: Accelerated Classification with Convolutional Neural Networks and Quantitative Experimental Validation." Atmospheric Measurement Techniques, vol. 18, no. 21, 2025, p. 6291, https://doi.org/10.5194/amt-18-6291-2025.