Microscope Slide Surface Etching for Tissue Section Adhesion

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Solution Overview

Problem

The adhesiveness of tissue sections to microscope slides varies by organ type, leading to inefficient attachment and increased time and cost, with existing methods affecting staining processes when attempting to improve adhesiveness.

Innovation Solution

Introducing surface unevenness on microscope slides using reactive ion etching and optimizing attachment conditions with machine learning techniques to enhance adhesiveness without altering the staining process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Strength

If a silane coating is applied to improve adhesiveness, then tissue section attachment is improved, but the staining process is affected

Engineering Contradiction:
ImproveadhesivenessVSAvoidstaining process interference
Core Design Contradiction:
StrengthVSObject-generated harmful factors

Solution Approach 1:

The invention changes the surface parameters of the glass slide by introducing nanoscale unevenness through reactive ion etching, creating a physical structure that enhances adhesiveness without introducing chemical coatings that would interfere with staining processes

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention replaces the chemical mechanism (silane coating) with a physical mechanism (surface unevenness structure) to achieve adhesiveness, thereby avoiding chemical interference with the staining process

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Strength

If attachment conditions are optimized for each organ type, then adhesiveness is improved, but time and cost increase

Engineering Contradiction:
ImproveadhesivenessVSAvoidattachment process time
Core Design Contradiction:
StrengthVSLoss of time

Solution Approach 1:

The invention creates a universal glass slide surface treatment that works effectively for all organ types, eliminating the need for organ-specific optimization and thereby reducing time and cost while maintaining high adhesiveness

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Manufacturing precision

If tissue sections are extended on the glass slide, then morphology observation is improved, but peeling occurs

Engineering Contradiction:
Improvemorphology preservationVSAvoidattachment stability
Core Design Contradiction:
Manufacturing precisionVSStrength

Solution Approach 1:

The invention transitions from a two-dimensional flat surface to a three-dimensional nanoscale uneven surface, creating multiple contact points and mechanical interlocking that prevent peeling while allowing the tissue section to maintain its extended morphology

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

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

Efficient attachment of tissue sections to microscope slides is achieved, reducing peeling issues and maintaining the integrity of staining processes across different organ types.

Implementation Method 1

Introducing surface unevenness on microscope slides using reactive ion etching

Methodology Applied
Scientific EffectReactive ion etching: Plasma

Data Source

PatentUS20240077712A1Microscope Slide and Method for Selecting the Same
Publication Date: 2024.03.07 HITACHI HIGH TECH CORP
  • US20240077712A1 patent drawing
  • US20240077712A1 patent drawing
  • US20240077712A1 patent drawing

AI summary

Provided is an efficient method for attaching a tissue section. In the invention, one of problems is solved by changing attachment conditions of the tissue section depending on an organ from which the tissue section is derived. A technique of achieving good adhesiveness between a microscope slide and a section by introducing unevenness on a front surface of the microscope slide using reactive ion etching as one of the attachment conditions is provided. Further, a technique of optimizing the attachment of the section using a machine learning technique or the like is provided.