Automate platform for Capturing and Counting ELISpot on 96-Well Plate

Diagnosis is an important process for doctors to analyze and advise treatment options for patients. ELI Spot is used as one of the diagnostic processes for the patient. This process is tedious and fatigue. Thus, developing diagnostic tool is important to reduce the workload of doctors. In this work, the automated platform is developed to acquire image from 96-well plate and analyze the number of ELIS pot. The platform consists of an IAI Tabletop, a USB microscope camera, and an adjustable light source panel. The control and analysis software are developed by C# language with the industrial standard image processing software MVtec Halcon. To meet the requirement, the simple software interface is also designed for providing a user-friendly experience. Then, the software can control the platform to acquire images and process them for the result. The ELISpot counting is done by the developed dynamic thresholding algorithm. The ELISpot counting algorithm is evaluated with the gold standard. The percentage of the algorithm correction is more than 80%