@inproceedings{ef86b46d1be345a6a15e4910a44c9c1f,
title = "Automated dense neuronal fiber tracing and connectivity mapping at cellular level",
abstract = "With the advancement of high throughput and high resolution volumetric brain imaging, there is an unmet need to trace dense neuron fibers and study long-range neuron connectivity. An initial pipeline is described for processing cellular-level neuronal fiber data acquired by a new super resolution imaging method called Magnified Analysis of the Proteome (MAP). First, a multiscale vessel enhancement filter is applied to segment fibers of different diameters. Morphological operations are then employed to extract the fiber centerlines, from which a 3D connectivity map is computed. Applying this approach to an initial data set yielded 2% equal error rate for segmentation and 92% accuracy for end-to-end fiber tracing (22 out of 24 hand-traced fibers). Future work calls for scaling up the algorithm to process much larger brain datasets (terabytes and above) and performing graph-based long-range connectivity analysis. This work has the potential to extend our knowledge on brain networks at the cellular level.",
author = "Brattain, {Laura J.} and Telfer, {Brian A.} and Siddharth Samsi and Taeyun Ku and Heejin Choi and Kwanghun Chung",
year = "2017",
month = jun,
day = "15",
doi = "10.1109/ISBI.2017.7950531",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "332--336",
booktitle = "2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017",
address = "United States",
note = "14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 ; Conference date: 18-04-2017 Through 21-04-2017",
}