End side microcarrier sorting system for improving NanoDet based on knowledge distillation
By using the NanoDet model and Kalman filtering algorithm based on knowledge distillation on the end-side device, the problems of low accuracy and resource limitation in the microcarrier sorting process are solved, and efficient and accurate microcarrier detection and sorting are achieved, which is suitable for resource-constrained end-side platforms.
Patent Information
- Application Number
- CN202411782282.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-05
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-12-05
AI Technical Summary
The prior art has problems of low accuracy, time-consuming and cell damage in the microcarrier sorting process, especially on resource-constrained end-side platforms, which are difficult to achieve efficient and accurate microcarrier detection and sorting.
Using the NanoDet model based on knowledge distillation, combined with the microfluidic chip and Kalman filtering algorithm, label-free detection and selective extraction are achieved on the end-side device, improving the detection accuracy and sorting efficiency of the microcarrier.
It realizes efficient and precise detection and sorting of microcarriers containing cells on resource-constrained end-side platforms, reducing computational complexity and energy consumption, and improving the real-time and reliability of the system.