Machine learning for microscopy image analysis

• Main Author: Azry, Amerul Tajuddin
• Other Authors: Wen Bihan
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/149926
• Institution: Nanyang Technological University

This report is on the Final Year Project “Machine Learning for Microscopy Image Analysis”. The report aims to document the research, learning, results obtained, issues experienced, and possible future work required to refine the results. The report will include the motivation of the project, its objectives and an overview of how and what methods are used as well as the frameworks that were utilised for the project. A literature review contains the research on the topic as well as the various tools and programming languages used. It will include the process of how a neural network is created and the reasoning behind the choices to include in the project. The progress of the project is also documented and contain the possible reasonings why certain choices made in the design did not perform as well as other designs. The report will end with a conclusion and work that could done to further improve the design of the network. This research project is based on microscopy image analysis and how machine learning can be used for work such as detection and classification to aid in the speed of processing multiple images where traditional methods fall off.