A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy

一种基于全自动多尺度核图切割的时间聚焦双光子显微镜粒子定位方案

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作者:Xia Huang, Chunqiang Li, Chuan Xiao, Wenqing Sun, Wei Qian

Procedures

noise reduction using a hybrid Kalman filter method, particle segmentation based on a multiscale kernel graph cuts global and local segmentation algorithm, and a kinematic estimation based particle tracking method. Both isolated and partial-overlapped particles can be accurately identified with removal of unrelated pixels. Based on our quantitative analysis, 96.22% isolated particles and 84.19% partial-overlapped particles were successfully detected.

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