Printing Control Device for Tissue Sample Cover Layers
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Solution Overview
Problem
Current printing technologies for cover layers on tissue or cell samples face challenges in achieving high printing quality and accuracy due to the inhomogeneous nature of tissue porosity and capillary forces, which affect ink penetration and distribution.
Innovation Solution
A printing control device and method that utilize image analysis to determine local tissue porosity and capillary forces, adjusting printing parameters such as droplet pitch, sequence, and pulse shape to optimize the printing of a fully closed and dense cover layer outside the region of interest, ensuring precise and uniform coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If uniform printing parameters are used across the entire sample, then the printing process is simple and fast, but the printing quality and uniformity deteriorate due to inhomogeneous tissue porosity and capillary forces
Solution Approach 1:
The patent applies local quality by determining local image parameters (such as local porosity and capillary forces) from image data of different regions of the sample, and using these local parameters to control printing parameters specifically for each region. This ensures that each region receives optimized printing conditions tailored to its unique characteristics, thereby improving printing quality and uniformity across the entire sample.
Solution Approach 2:
The patent implements dynamics by making the printing parameters adjustable and adaptable based on real-time image analysis. The printing control device dynamically determines printing parameters (such as droplet size, deposition rate, and pattern) according to the locally determined tissue characteristics, allowing the printing process to adapt to variations in tissue porosity and capillary forces across different regions.
2Manufacturing precision
If printing parameters are adjusted based on local image parameters, then printing quality and uniformity improve, but the printing process becomes more complex and time-consuming
Solution Approach 1:
The patent applies preliminary action by performing image analysis and determining local image parameters before the actual printing process. This pre-characterization of the sample allows the printing control device to have all necessary information ready, enabling optimized printing parameters to be applied from the beginning without requiring time-consuming adjustments during printing.
Solution Approach 2:
The patent uses copying by creating a digital representation of the sample's physical characteristics through image analysis. The local image parameters derived from the image data serve as a digital model that guides the printing process, allowing the system to replicate the optimal printing strategy without physically measuring or manipulating the tissue during printing.
3Adaptability or versatility
If image analysis is performed to determine local tissue properties, then printing parameter optimization is enabled, but the overall system complexity and processing requirements increase
Solution Approach 1:
The patent applies universality by designing the printing control device to perform multiple functions: it captures images of the sample, analyzes the image data to determine local tissue properties, and controls the printing process based on these properties. This multi-functional approach consolidates what could be separate systems into a single integrated device, reducing overall system complexity while maintaining high adaptability.
Solution Approach 2:
The patent implements feedback by using image analysis results to continuously inform and adjust the printing process. The local image parameters provide real-time information about tissue characteristics, which feeds back to the printing control device to optimize printing parameters dynamically, creating a closed-loop system that adapts to sample variations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances printing quality and reproducibility, allowing for accurate sample selection and extraction, particularly for molecular diagnostics, by optimizing the printing process based on real-time image data analysis and tissue properties.
Implementation Method 1
The local image parameter relates to local tissue porosity and/or a local capillary force of the sample
Data Source
AI summary
The invention relates to a printing control device (10) to control printing of a cover layer on a tissue or cell sample to be examined, a system (1) for printing of a cover layer (1) on a tissue or cell sample to be examined, a method to control printing of a cover layer on a tissue or cell sample to be sample to be examined, a computer program element for controlling such device or system for performing such method and a computer readable medium having stored such computer program element. The printing control device (10) comprises an imaging unit (11) and a printing control unit (12). The imaging unit (11) is configured to provide image data of the sample, and to determine a local image parameter from the image data. The local image parameter relates to local tissue porosity and/or a local capillary force of the sample. The printing control unit (12) is configured to control a printing parameter for printing the cover layer on the sample based on the local image parameter.