Variable-Color Lighting Control for Multi-Temperature Tissue Imaging
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Solution Overview
Problem
Existing lighting systems in medical environments require manual adjustment of color and/or color temperature, which is time-consuming and limits visibility of structures under optimal illumination conditions, and camera images only reflect the visibility benefits of a single color temperature, masking structures visible under different temperatures.
Innovation Solution
A lighting arrangement with a variable light source and camera system that automatically switches between different color and/or color temperatures, allowing rapid transitions imperceptible to the human eye, and processes images to integrate visibility enhancements across multiple temperatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of color and color temperature is used, then the operator can assess the effect of different lighting conditions, but the process is time-consuming and reduces productivity
Solution Approach 1:
The system automatically adjusts color and color temperature without requiring manual intervention. The control system autonomously selects and switches between different lighting conditions based on pre-programmed parameters, eliminating the time-consuming manual adjustment process while maintaining operational effectiveness
Solution Approach 2:
Different color and color temperature settings are pre-configured in the system before operation. The control system has advance knowledge of optimal lighting parameters for various surgical conditions, allowing automatic selection without real-time manual intervention or trial-and-error adjustment
2Measurement precision
If a specific color and/or color temperature is selected, then certain structural differences become visible, but other regions that would be visible in another color/temperature are obscured
Solution Approach 1:
The system periodically switches between different color and color temperature settings, capturing images at multiple lighting conditions sequentially. This periodic variation in lighting parameters allows the system to gather comprehensive visual information about different tissue structures without being limited to a single fixed lighting condition
Solution Approach 2:
The lighting system dynamically changes color and color temperature parameters during operation rather than remaining static. The control system adapts lighting conditions in real-time based on the surgical procedure requirements, enabling the system to reveal different structural information at different time points
3Measurement precision
If color and/or color temperature is changed manually, then the operator can optimize visibility, but the change is perceptible to the human eye and may disturb the surgeon
Solution Approach 1:
The system uses rapid periodic switching between different color and color temperature settings, changing the lighting conditions faster than the human eye can perceive. This high-frequency variation allows automatic optimization of visibility while maintaining a stable appearance to the surgeon, preventing disturbance
Solution Approach 2:
The lighting system employs rapid oscillation or vibration-like switching between different color temperatures at high frequency. This rapid temporal variation creates the effect of stable average lighting appearance to the human eye while enabling automatic adjustment of optical parameters for improved visibility
Data Source
AI summary
The present disclosure relates to a lighting arrangement, which comprises at least one light source, with at least one camera and a control system, wherein the colour and/or colour temperature of the light source is variable and the camera records images of a region illuminated by the light source. According to the disclosure, the control system controls the lighting arrangement such that the light source illuminates the illuminated region successively with light of a different colour and/or colour temperature, wherein the control system separately evaluates and/or outputs a first image recorded in a first colour and/or colour temperature of the lighting.