This is an on-going project aiming to build a platform that supports 3D+time (colorful or gray) imaging data visualization, cell segmentation, cell tracking and results curation. It is built using Qt with C++ and OpenGL.
synQuant, muSSP, CINDA, Vaa3d project., RayCasting volume rendering and QDarkStyleSheet.
[1] Congchao Wang, Yizhi Wang, Guoqiang Yu, Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework, arXiv:1911.00796. (accepted by IEEE Trans. on PAMI)
[2] Congchao Wang, Yizhi Wang, Yinxue Wang, Chiung-Ting Wu, Guoqiang Yu. (2019). muSSP: Efficient min-cost flow algorithm for multi-object tracking. In Advances in Neural Information Processing Systems (pp. 425-434).
[3] Yizhi Wang*, Congchao Wang*, Petter Ranefall, Gerard Joey Broussard, Yinxue Wang, Guilai Shi, Boyu Lyu, Chiung-Ting Wu, Yue Wang, Lin Tian, Guoqiang Yu. (2020). SynQuant: An Automatic Tool to Quantify Synapses from Microscopy Images, Bioinformatics, 36(5), 1599–1606.
[4] Peng, H., Ruan, Z., Long, F., Simpson, J.H., and Myers, E.W. (2010) “V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets,” Nature Biotechnology, Vol. 28, No. 4, pp. 348-353.
[5] Peng, H, Ruan, Z., Atasoy, D., and Sternson, S. (2010) “Automatic reconstruction of 3D neuron structures using a graph-augmented deformable model,” Bioinformatics, Vol. 26, pp. i38-i46, 2010.