Full Length Research Paper
References
Booij TH, Price LS, Danen EHJ (2019). 3D Cell-based assays for drug screens: Challenges in imaging, image analysis, and high-content analysis. SLAS Discovery: Advancing Life Sciences R&D 24(6):615-627. |
|
Brahim A, Ramírez J, Górriz JM, Khedher L, Salas-Gonzalez D (2015). Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism. Plos One 10(6):e0130274. |
|
Chen T, Ma KK, Chen LH (1999). Tri-state median filter for image denoising. IEEE Transactions on Image processing 8(12):1834-8. |
|
Despotovi? I, Goossens B, Philips W (2015). MRI segmentation of the human brain: Challenges, methods, and applications. Computational and Mathematical Methods in Medicine 2015:1-23. |
|
Garain U, Paquet T, Heutte L (2006). On foreground - background separation in low quality document images. International Journal of Document Analysis and Recognition 8(1):47-63. |
|
Guzmán C, Bagga M, Kaur A, Westermarck J, Abankwa D (2014). ColonyArea: An ImageJ plugin to automatically quantify colony formation in clonogenic assays. Rota R, ed. PLoS ONE 9(3):e92444. |
|
Handala L, Fiore T, Rouillé Y, Helle F (2019). QuantIF: An ImageJ macro to automatically determine the percentage of infected cells after immunofluorescence. Viruses 11(2):165. |
|
Morris RR, Kirschbaum CR, Picard RW 2010. Broadening accessibility through special interests: a new approach for software customization. In Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility (ASSETS '10). Association for Computing Machinery, New York, NY, USA pp. 171-178. |
|
Pool M, Thiemann J, Bar-Or A, Fournier AE (2008). NeuriteTracer: A novel ImageJ plugin for automated quantification of neurite outgrowth. Journal of Neuroscience Methods 168(1):134-139. |
|
Poulet A, Arganda-Carreras I, Legland D, Probst AV, Andrey P, Tatout C (2014). NucleusJ: an ImageJ plugin for quantifying 3D images of interphase nuclei. Bioinformatics 31(7):1144-1146. |
|
Roels J, Vernaillen F, Kremer A, et al (2020). An interactive ImageJ plugin for semi-automated image denoising in electron microscopy. Nature Communications 11(1):771. |
|
Schneider CA, Rasband WS, Eliceiri KW (2012). NIH Image to ImageJ: 25 years of image analysis. Nature Methods 9(7):671-675. |
|
Sternberg SR (1983). Biomedical image processing. Computer 16(01):22-34. |
|
Tajima R, Kato Y (2011). Comparison of threshold algorithms for automatic image processing of rice roots using freeware ImageJ. Field Crops Research 121(3):460-463. |
|
Valente AJ, Maddalena LA, Robb EL, Moradi F, Stuart JA (2017). A simple ImageJ macro tool for analyzing mitochondrial network morphology in mammalian cell culture. Acta Histochemica 119(3):315-326. |
|
Vincent O, Folorunso O (2009). A descriptive algorithm for sobel image edge detection. Accessed January 21, 2023. |
|
Whitehead MJ, McCanney GA, Willison HJ, Barnett SC (2019). MyelinJ: an ImageJ macro for high throughput analysis of myelinating cultures. Murphy R, ed. Bioinformatics 35(21):4528-4530. |
|
Wilkinson MHF (1994). Shading correction and calibration in bacterial fluorescence measurement by image processing system. Computer Methods and Programs in Biomedicine 44(2):61-67. |
|
Zhu N, Wang G, Yang G, Dai W (2009). A fast 2D otsu thresholding algorithm based on improved histogram. 2009 Chinese Conference on Pattern Recognition. Published online November. |
Copyright © 2025 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0