Fluorescent Label Selection Support Using In Vivo Expression Data
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Solution Overview
Problem
Selecting a suitable fluorescent dye for detecting and analyzing target molecules is a time-consuming task, even for experienced users, and the chosen dye may not be optimal for the analysis, complicating the process.
Innovation Solution
A label selection support system that utilizes a database to obtain in vivo expression information of target molecules, generating support information for label assignment based on this information, including a data table generator and support information generator to suggest appropriate labels for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user manually selects fluorescent dyes for target molecule analysis, then the user can choose dyes based on their knowledge and experience, but the selection process is time-consuming and may result in suboptimal dye choices
Solution Approach 1:
The system enables self-service by automatically generating label selection recommendations based on in vivo expression information. The information processor retrieves expression data from databases and autonomously determines suitable fluorescent dyes without requiring user expertise, allowing inexperienced users to obtain optimal label selections efficiently
Solution Approach 2:
The system performs preliminary action by pre-retrieving and processing in vivo expression information from databases before the user needs to make label selections. This advance preparation of expression data and pre-determination of suitable labels eliminates the need for users to manually search and evaluate multiple dye options during their analysis
2Reliability
If experienced users manually select fluorescent dyes, then they can make informed choices based on their expertise, but the process remains time-consuming
Solution Approach 1:
The system incorporates feedback mechanisms by using actual in vivo expression information from databases to validate and refine label selection recommendations. The information processor continuously references expression data to ensure that recommended dyes are optimally suited to the target molecules, providing reliable selections that reflect real biological data
Solution Approach 2:
The system introduces an intermediary - the information processor - that acts as a mediator between the user's analysis needs and the complex database of in vivo expression information. This intermediary automatically processes and interprets expression data to generate appropriate label recommendations, eliminating the need for users to directly navigate complex biological data
3Productivity
If the system provides automated label selection support, then label selection becomes easier and faster, but the system complexity increases
Solution Approach 1:
The system achieves multi-functionality by integrating multiple capabilities into a single information processor: retrieving in vivo expression information from various databases, processing and analyzing expression data, determining suitable fluorescent dye recommendations, and presenting results to users. This consolidation of functions into one unified processor improves productivity without proportionally increasing overall system complexity
Data Source
AI summary
There is provided a technology that supports selection of a label to be used for analysis of target molecules.The present technology provides a label selection support system including an information acquisition unit that obtains, via a network, information associated with a plurality of target molecules to be analyzed, an information processor that obtains, using the information associated with a plurality of target molecules, in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of target molecules and generates support information associated with assignment of a label to each of the plurality of target molecules on the basis of the expression information, and a transmitter that transmits the generated support information via the network.