APA (7th ed.) Citation

Niazian, M., Sadat-Noori, S. A., Abdipour, M., Tohidfar, M., & Mortazavian, S. M. M. (2018). Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (<italic>Trachyspermum ammi</italic> (L.) Sprague). In Vitro Cellular & Developmental Biology Plant, 54(1), 54. https://doi.org/10.1007/s11627-017-9877-7

Chicago Style (17th ed.) Citation

Niazian, Mohsen, Seyed Ahmad Sadat-Noori, Moslem Abdipour, Masoud Tohidfar, and Seyed Mohammad Mahdi Mortazavian. "Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (Trachyspermum Ammi (L.) Sprague)." In Vitro Cellular & Developmental Biology Plant 54, no. 1 (2018): 54. https://doi.org/10.1007/s11627-017-9877-7.

MLA (9th ed.) Citation

Niazian, Mohsen, et al. "Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (Trachyspermum Ammi (L.) Sprague)." In Vitro Cellular & Developmental Biology Plant, vol. 54, no. 1, 2018, p. 54, https://doi.org/10.1007/s11627-017-9877-7.