Software and Hardware Integration for Automated Light Sheet Fluorescence Microscopy

Sammanfattning

This thesis presents a light sheet fluorescence microscope that can capture high-quality images for three-dimensional visualizations using a user-friendly Python program. The microscope is based on the open-source project descSPIM. The program can be used to calibrate and decide measurement settings to accurately acquire z-stacks of a sample. From the z-stacks, three-dimensional reconstruction can be performed to observe three-dimensional structures in detail. The project successfully compensated for refraction in z-stack acquisition while discussing topics such as improving image quality, increasing versatility, and broadening access to light sheet fluorescence microscopes. This thesis shows the advantages of light sheet fluorescence microscopes in relation to observed issues in the setup and can serve as a foundation for further improvements of the microscope.