Modular Control Module for Microscope Incubator via Bus Interface
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional control devices for influencing sample environment parameters in microscope systems are manually operated, lack extensive automation, and are often specific to certain incubator sizes, limiting their versatility and efficiency in controlling multiple parameters simultaneously.
Innovation Solution
A control module and system that utilize a bus protocol for automated control of sample environment parameters, allowing multiple control modules to be combined and controlled via a uniform bus system, enabling precise control of parameters like oxygen, carbon dioxide, humidity, and temperature, and allowing integration with microscope systems for automated experimentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional control devices are designed to control multiple sample environment parameters simultaneously, then the control device can only be used for incubation systems with a specific incubator size, but if the control device is designed for versatility, then it requires multiple different control devices for different incubation systems
Solution Approach 1:
The control device is designed with a universal interface that can adapt to different incubator sizes and configurations. The device includes configurable parameters and scalable architecture that allow it to function with various incubator types without requiring separate control devices for each size, thereby achieving multi-functionality and broad compatibility.
Solution Approach 2:
The control device is divided into modular components that can be independently configured and combined. This segmentation allows the system to adapt to different incubator sizes by selectively activating or deactivating specific modules, enabling a single control device to manage multiple incubator configurations without requiring entirely separate devices for each size.
2Ease of operation
If conventional control devices are manually operated with keypads and rotary knobs, then users can directly control parameters, but extensive automation of experimental procedures is not guaranteed
Solution Approach 1:
The control device incorporates automated functions that allow the system to self-regulate and self-monitor environmental parameters without continuous manual intervention. The device includes built-in controllers that automatically adjust parameters based on sensor feedback, enabling extensive automation of experimental procedures while maintaining ease of operation through programmable sequences and remote access capabilities.
Solution Approach 2:
The control device integrates sensor feedback mechanisms that continuously monitor sample environment parameters and automatically adjust control outputs to maintain desired conditions. This closed-loop feedback system enables automated experimental procedures by allowing the system to self-correct and self-regulate based on real-time measurements, reducing the need for manual monitoring and adjustment.
3Loss of information
If a user must manually log current values of sample environment parameters, then data can be recorded, but this process is time-consuming and reduces efficiency
Solution Approach 1:
The control device replaces manual logging mechanisms with automated digital data acquisition and storage systems. Sensors continuously measure environmental parameters and automatically record data to digital memory or external storage devices, eliminating the need for manual writing or data entry. This substitution of mechanical/manual processes with automated electronic systems maintains complete experimental data while dramatically improving productivity and reducing time consumption.
Solution Approach 2:
The control device introduces an intermediary automated data logging system that acts as a mediator between the environmental parameters and the experimental record. This intermediary system continuously monitors, captures, and stores parameter values without requiring direct human intervention, thereby preserving complete experimental information while freeing researchers to focus on higher-value activities and improving overall experimental efficiency.
Data Source
Figure 1~2
Figure 3~4
Figure 5A~5B
AI summary
A microscope arrangement (1) comprises a microscope system (2) with at least one controllable component (5) and a control system (6) with a plurality of control modules (7-9) for influencing a plurality of sample environment parameters in a sample chamber (4) of the microscope system (2). The control modules (7-9) are designed such that they can be easily combined modularly and can be coupled via an interface unit to a uniform bus (13) through which they are controlled.