Automated Microscope Alignment for Deep Channel Base Visibility
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Solution Overview
Problem
Current microscope systems face difficulties in precisely aligning the observer beam path to effectively observe and illuminate the base of deep channels, particularly in neurosurgery and ophthalmology, due to the complexity of stereoscopic partial beam paths and the need for manual alignment, which is time-consuming and inefficient.
Innovation Solution
An automated method for aligning microscopes using motor-driven mounts and image processing units to maximize the visibility of the base of deep channels by obtaining electronic images, registering focal depth, and adjusting the microscope's position and orientation based on image processing to optimize both illumination and observation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment of the microscope is performed to observe the base of a deep channel, then the visibility of the base can be improved, but the alignment process becomes time-consuming and labor-intensive
Solution Approach 1:
The system performs automated alignment using image processing and evaluation algorithms that automatically determine the optimal microscope orientation and position to maximize base visibility, eliminating the need for manual alignment operations by operators
Solution Approach 2:
The manual mechanical alignment process is replaced by an automated computational system that uses electronic image processing, coordinate system transformations, and algorithmic evaluation to determine and execute the optimal alignment, substituting mechanical manual operations with automated digital control
2Adaptability or versatility
If the number of stereoscopic partial beam paths is increased to provide multiple observer views, then the observation capability is improved, but the alignment complexity increases
Solution Approach 1:
The alignment requirements for multiple stereoscopic partial beam paths are merged into a single unified alignment process. The image processing unit simultaneously processes images from all beam paths and determines a common optimal alignment that maximizes base visibility for all observers, consolidating multiple alignment tasks into one coordinated operation
Solution Approach 2:
The alignment system is designed to handle multiple beam paths universally through a single automated process. The coordinate transformation and image evaluation algorithms work across all stereoscopic partial beam paths simultaneously, providing a universal solution that adapts to any number of observer configurations without requiring separate alignment procedures for each path
Data Source
AI summary
A microscope system is made available, said microscope system including: a microscope with an observer beam path with at least one camera for obtaining at least one electronic image of an observation object with a deep channel with a base, a motor-driven mount and/or a motor-driven stand, on which the microscope is mounted, a detection unit for detecting the focal depth set at the microscope, an image processing unit connected to the detection unit for the receiving focal depth and connected to the at least one camera for receiving the at least one electronic image, which image processing unit establishes the image portion in the at least one electronic image constituting the base of the deep channel in the electronic image, and a control unit connected to the image processing unit for receiving the established alignment for outputting control signals.