Cell tracking algorithm for sequence microscopy images(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2018年第2期
- Page:
- 187-190
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Cell tracking algorithm for sequence microscopy images
- Author(s):
- YANG Li; CAI Wenjie; MA Jing
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Keywords:
- ; microscopy image; cell tracking; cell segmentation; accuracy
- PACS:
- TN957.52
- DOI:
- DOI:10.3969/j.issn.1005-202X.2018.02.013
- Abstract:
- With the advancement of microscopy imaging technology, cell morphology analysis is becoming more important in biological image analysis. Early studies mainly focused on static cell image information, such as cell counting and cell morphology. The development of living cell imaging results in a large amount of delayed cell image data, and it is time consuming to manually process these data. The cell tracking algorithm can greatly reduce the workload of data processing. Herein, we summarize the existing algorithms, and compare the advantages and disadvantages of the algorithms and the tracking results. Finally, some possible methods for improving the accuracy and the efficiency of cell tracking algorithm are prospected.
Last Update: 2018-01-29