Automated Axon Tracking of 3D Confocal Laser Scanning ...

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Figure 11 – Tracking results in dataset two: (a) The MIP image of the dataset, (b) Cross-over in the MIP image(The region inside the yellow rectangle in (a) has been magnified for better visualization), (c) Manual trackingresults, (d) Centerlines in MIP image, and (e) 3D model of the centerlines The scale bars .in (a) and (d) correspondto 6μm. The scale bar in (b) corresponds to 2μm.Approximately 75% of this dataset was tracked using the cross-sectional tracking algorithm.The average deviation of the centerlines detected by our algorithm from the manually trackedresults was found to be 1.64 pixels.As the complexity of the dataset increases, a major part of the centerlines of the axons aretracked using the cross-sectional information. The final dataset contained seven axons with 256cross-sectional images, each having a resolution of 42 x 512 pixels. The cross-sectional imageswere sampled along the X direction. Due to the complex nature of the dataset, the centerlines ofthe axons are tracked entirely using the cross-sectional images. Hence, the centers of the axons inthe first cross-sectional image were manually identified. Figure 12(a) shows the MIP image forthe dataset. The manual tracking results for this dataset is shown in Figure 12(b). Figure 12(c)-(d) show the 2D MIP and 3D model of the centerlines of the axons.28(e)
(a)(b)(c)(d)Figure 12 – Tracking results in dataset three: (a) The MIP image of the dataset, (b) Manual tracking results, (c)Centerlines in MIP image, and (d) 3D model of the centerlines. The scale bars in (a) and (c) correspond to 6μm.29
Page 2 and 3: AbstractThis paper presents a new a
Page 4 and 5: the 3D stack. Several automatic alg
Page 6 and 7: Track the centerlines in the MIP im
Page 8 and 9: 2.1 Tracking the Axons in the MIP I
Page 10 and 11: algorithm, and therefore must be in
Page 12 and 13: towards the center. Similarly, all
Page 14 and 15: algorithm. The blue line in Figure
Page 16 and 17: To avoid this problem, we introduce
Page 18 and 19: (a)(b)(c)Figure 7 - Segmentation of
Page 20 and 21: distribution and used to train the
Page 22 and 23: After the region of interest is ide
Page 24 and 25: The number of cross-sections to be
Page 26 and 27: (e)Figure 10 - Tracking results in
Page 30 and 31: In comparison with the manual track
Page 32 and 33: algorithm worked for five consecuti
Page 34 and 35: dataset in a direction normal to th
Page 36 and 37: ReferencesAbramoff M.D., Magelhaes,
Page 38: Imaging. 24(12), 1529- 1539.Wang M.

Automated Axon Tracking of 3D Confocal Laser Scanning ...

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