An optical coherence tomography cell activity characterization method based on power spectral density spectrum state model
By constructing a pixel-level linear spectral state model and combining the full-living template spectrum and the full-dead template spectrum, the problem of spectral structure information loss in optical coherence tomography is solved, realizing high-precision and stable analysis of cell activity state, and providing a cell function imaging tool with noise resistance and high information entropy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HANGZHOU DIANZI UNIV
- Filing Date
- 2026-05-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing optical coherence tomography (OCT) technology cannot fully reflect spectral structure information in cell activity detection, resulting in insufficient accuracy and stability of spectral characteristic analysis and an inability to effectively distinguish different cell types and dynamic processes.
An optical coherence tomography method based on a power spectral density spectral state model is adopted. By constructing a pixel-level linear spectral state model and combining the whole-living template spectrum and the whole-dead template spectrum, the activity coefficient is calculated and an activity coefficient map is constructed to achieve quantitative characterization of cell activity state.
It improves the accuracy and stability of cell dynamic behavior analysis, can finely depict the continuous dynamic evolution of cells from health to necrosis, effectively captures key structural information such as spectral peak position, energy distribution and spectral width, and is a cell functional imaging tool with noise resistance and high information entropy.
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Figure CN122409467A_ABST