使用連線網際網路而具有雲端服務之物聯網顯微鏡，進行動態細胞識別與即時遠端顯微鏡操作。

Biological Laboratory Cloud Microscope. First Generation (1st) System based on Remote Presentation

本作品可以使用多用途之人工智慧影像識別模組和相應生醫晶片進行動態細胞識別與3D細胞培養。可以在時間線上記錄和識別細胞影像。利用標準識別空間、細胞培養主實驗區、微流道辨識標記、外圍觀察設備等，透過標準識別空間達到實驗一致性，人工智慧影像辨識模組識別位於動態環境與時間之細胞。透過關於時間而識別的位置、大小、物理或電化學反應狀態，可以進一步確定細胞狀態。且可追蹤3D培育之細胞隨時間的變化。

This work can use multiple artificial intelligence image recognition modules and corresponding microfluidic chip for dynamic cells recognition. Images of cell can be recorded and identified on the timeline. This work can use multiple artificial intelligence image recognition modules and corresponding consistent benchmark such as microfluidic identification marks, etc. to identify dynamic cells through the cell status pre-trained in the artificial intelligence image recognition module. Through the identified position, size, physical or electrochemical reaction state, the cell status can be further determined with consistent benchmark. Therefore, images can be recorded and identified on the timeline from the initial state of observation to the final state of a specific cell. Tracking changes in the same cell over time will help compare parameter calculations with the degree of cell death.