Microscope Based On Smartphone And Its Applications

The high-performance processors and high-resolution smartphone camera and people's great attention to health and environment have promoted a large number of researches toward smartphone.Algae is No.1 productive forces,and plays a very important role in the energy flow and material circulation in water ecological system.Algae is also one of the main organisms that cause natural disasters such as red tide in seawater and water blooms.Changes in the amount of algae can respond significantly and quickly to the process of eutrophication of water.Research on the amount of salamanders is one of the important ways to understand the status of water ecological system such as lakes and water quality assessment.This thesis mainly studies the smartphone microscope based on ball lens,combined with the improved watershed algorithm based on distance transformation and morphological reconstruction,to achieve the counting function of algae cells.In this paper,a scheme of microscope based on smartphone is proposed.The resolution of the microscope is 3.1?m and the field of view is 200?m × 200?m.Using 3D printing technology,the modularized packaging of microscope optical elements of smartphone is completed,and the micro-module of smartphone with the size of 88mm × 37mm ×38 mm is developed,which has the characteristics of compact structure,low cost and point-of-care test.This paper introduces the principle and mathematical description of watershed algorithm.Considering the over-segmentation phenomenon of traditional watershed algorithm,watershed segmentation algorithm based on distance transformation and morphological reconstruction is adopted.The improved watershed algorithm is used to segment the polystyrene microspheres to get a single pixel and continuous boundary.Finally,the number of Chlorella cells is counted by the combination of microscope based on smartphone and watershed segmentation algorithm based on distance transformation and morphological processing,and compared with the cell number of artificial statistics.The average error of the counting method based on the traditional watershed algorithm is 32.9%.The average error of the counting method based on the improved watershed algorithm is 1.93%,which is far lower than the counting method based on the traditional watershed algorithm.A smartphone microscope based on a ball lens combined with an improved watershed algorithm provides a new detection method for algae cell counting,which can also be extended to other cells or micro-organisms counting in the future.