DESIGN, SIMULATION AND OPTIMIZATION OF NOVEL MICROGRIPPER FOR THE DIAGNOSIS OF DYSPLASIA

Abstract

Although last decade has proved itself as an era of innovations in micromanipulation, but still not a lot of work has been done in the field involving diagnoses of critical diseases like cancer. This thesis proposes a technique that can help diagnose cancer in its pre malignant form, i.e. Dysplasia. Novel MEMS based micro gripper was designed; optimized and prototyped using SOI MUMPS to micro manipulate cells, i.e. extract them from the tissues, place them and finally characterize them for diagnoses. A complete analytical model is laid down that is further used a comparison standard. A critical FEA analysis was done to guarantee device operation. The total size of the device is 3.76mm×2.86mm.