MusiJ (imageJ plugin), Dataset, and Video tutorial of S. Acuña, F. Ströhl, I. S. Opstad, B. S. Ahluwalia, and K. Agarwal “MusiJ: an ImageJ plugin for video nanoscopy.” Biomedical Optics Express, pp. 2548-2559, vol. 11, issue 5, 2020.
Dataset and source codes (Python) and Video Summary of A. A. Sekh, I. S. Opstad, Å. B. Birgisdottir, T. Myrmel, B. S. Ahluwalia, K. Agarwal, and D. K. Prasad, “Learning nanoscale motion patterns of vesicles in living cells,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, 14-19 June 2020.
Source codes (Matlab) of K. Agarwal and D.K. Prasad, “Eigen-analysis reveals components supporting super-resolution imaging of blinking fluorophores”, Scientific Reports, vol. 7, article id. 4445, 2017.
Video on Multiple Signal Classification, 8th Feb 2017.
Dataset and source codes (Matlab) and video tutorial of K. Agarwal and R. Machan, “Multiple Signal Classification Algorithm for super-resolution fluorescence microscopy”, Nature Communications, vol. 7, article id. 13752, 2016.
Source codes with sample data of D.K. Prasad and K. Agarwal, “Classification of hyperspectral or trichromatic measurements of ocean color data into spectral classes”, Sensors, vol. 16, Issue 3, pp. 413, 2016.
Matlab Source codes of K. Agarwal, S. Rencheng, Michele D’Urso, and X. Chen, “Improving the Performances of the Contrast Source Extended Born Inversion Method by Subspace Techniques”, IEEE Geoscience and Remote Sensing Letters, Vol. 10, Iss. 2, pp. 391-395, 2013.
Matlab Source codes of K. Agarwal, P. Li and X. Chen, “Subspace-based Optimization Method for Reconstruction of Two-dimensional Complex Anisotropic Dielectric Objects”, IEEE Trans. Microwave Theory and Techniques, pp. 1065-1074, vol. 58/issue 4, 2010.