Parasitenet – High Throughput Smart Optical Microscopic Image Examination System

Project: National Science and Technology Council › National Science and Technology Council Academic Grants

Project Details

Abstract

本計畫發產高通量顯微鏡檢系統與配套演算法，包含微流通道機構設計開發、基於容器的深度學習超參數優化機制，以及教學系統開發與場域驗證。本計畫結合果去成果將開發微生物定量與分析平台，可適用不同場景的分析工作，包含六大目標(1)高通量微流體系統製作 (2)以影像分割技術降低像素層級的人工標記成本 (3)效能評估指標與模型超參數優化策略 (4)發展高通量光學顯微影像辨識模型 (5)高通量微流通道辨識系統與用於醫事檢驗的場域驗證 (6)教學、檢定平台與教學場域驗證。

Project IDs

Project ID:PB11207-2998
External Project ID:NSTC112-2221-E182-049
StatusFinished
Effective start/end date01/08/23 → 31/07/24

Keywords

  • Deep learning
  • Neural Networks
  • Helminth
  • Optical Microscopic Examination
  • Microorganism
  • Microscope
  • e-learning
  • Distance learning

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