1. Kolaczkowska, E, Kubes, P. Neutrophil recruitment and function in health and inflammation. Nat Rev Immunol. 2013;13:159-175.
Google Scholar | Crossref | Medline | ISI2. Renshaw, SA, Loynes, CA, Trushell, DM, Elworthy, S, Ingham, PW, Whyte, MK. A transgenic zebrafish model of neutrophilic inflammation. Blood. 2006;108: 3976-3978.
Google Scholar | Crossref | Medline3. Harvie, EA, Huttenlocher, A. Neutrophils in host defense: new insights from zebrafish. J Leukoc Biol. 2015;98:523-537.
Google Scholar | Crossref | Medline4. Henry, KM, Loynes, CA, Whyte, MK, Renshaw, SA. Zebrafish as a model for the study of neutrophil biology. J Leukoc Biol. 2013;94:633-642.
Google Scholar | Crossref | Medline5. Nave, O, Elbaz, M. Artificial immune system features added to breast cancer clinical data for machine learning (ML) applications. Biosystems. 2021;202:104341.
Google Scholar | Crossref | Medline6. Rajpurkar Irvin, J, Ball, RL, Zhu, K, et al. Deep learning for chest radiograph diagnosis: a retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLoS Med. 2018;15:e1002686.
Google Scholar | Crossref | Medline7. Tyagi, G, Patel, N, Sethi, I. A fine-tuned convolution neural network based approach for phenotype classification of zebrafish embryo. Procedia Comput Sci. 2018;126: 1138-1144.
Google Scholar | Crossref8. Ishaq, O, Sadanandan, SK, Wählby, C. Deep fish. SLAS Disc Adv Life Sci R & D. 2017;22:102-107.
Google Scholar | Medline9. Huarng, MC, Shavit, JA. Simple and rapid quantification of thrombocytes in zebrafish larvae. Zebrafish. 2015;12:238-242.
Google Scholar | Crossref | Medline10. Rueb, KF, Stachura, DL. Using flow cytometry to detect and quantitate altered blood formation in the developing zebrafish. J Vis Exp. 2021;170:61035.
Google Scholar11. Carpenter, AE, Jones, TR, Lamprecht, MR, et al. CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol. 2006;7:R100.
Google Scholar | Crossref | Medline | ISI12. Falk, T, Mai, D, Bensch, R, et al. U-Net: deep learning for cell counting, detection, and morphometry. Nat Meth. 2019;16:67-70.
Google Scholar | Crossref | Medline13. Berrun, A, Harris, E, Stachura, DL. Isthmin 1 (Ism1) is required for normal hematopoiesis in developing zebrafish. PLoS ONE. 2018;13:e0196872.
Google Scholar | Crossref | Medline14. Westerfield, M. The Zebrafish Book. A Guide for the Laboratory Use of Zebrafish (Danio rerio). 5th ed. Eugene, OR: University of Oregon Press; 2007.
Google Scholar15. Casado-García, Á, Domínguez, C, García-Domínguez, M, et al. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks. BMC Bioinformatics. 2019;20:323.
Google Scholar | Crossref | Medline16. Redmon, J, Divvala, S, Girshick, R, et al. You only look once: unified, real-time object detection. In: 2016 IEEE conference on computer vision and pattern recognition, CVPR 2016, Las Vegas, NV, USA, 27-30 June. Piscataway, NJ: IEEE; 2016:779-788.
Google Scholar