Colony Detection via Peripheral Signal Quantification
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Solution Overview
Problem
Current methods for selecting highly productive cell colonies, such as those producing polypeptides of interest, face challenges in accurately identifying productivity levels due to reliance on colony size and inability to distinguish between high and low producers of similar size, and inefficient correlation of image data with productivity.
Innovation Solution
A method involving a predefined area around each cell or colony to calculate signal levels, excluding internal and neighboring cell areas, using mean, median, or sum signal values, and selecting cells based on elevated signal levels compared to others, with optional size criteria and fluorescent marker compounds for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If colony size is used to identify productive cells, then the selection process is simple and automated, but accuracy in identifying high-producing colonies is poor
Solution Approach 1:
The patent uses fluorescent marker compounds that bind to polypeptides of interest, causing colonies producing high levels of the target polypeptide to exhibit enhanced fluorescent signal intensity. This optical property change allows automated imaging systems to accurately distinguish high-producing colonies from low-producing ones based on signal strength rather than colony size, resolving the contradiction between automation ease and measurement precision.
2Reliability
If traditional plating methods are used to ensure clonality, then colony purity is maintained, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual plating operations with an automated robotic picking system that uses imaging-guided positioning to transfer individual colonies to new plates. The system captures images of colonies, identifies their locations and characteristics, and automatically picks them using a robotic arm with precision positioning, eliminating the need for repetitive manual plating while maintaining clonality assurance.
Solution Approach 2:
The patent performs preliminary imaging and identification of colonies before the picking process begins. By capturing images and analyzing colony characteristics in advance, the system prepares a selection list and positioning map, allowing the robotic picker to efficiently transfer only the desired colonies without repeated trial-and-error operations, thereby reducing overall process time while maintaining reliability.
3Reliability
If numerous culture dishes are used for statistical testing, then data reliability is improved, but resource consumption and process complexity increase
Solution Approach 1:
The patent employs a single automated imaging and picking system that can process multiple culture dishes through the same workflow. The system is designed to handle various dish formats and configurations, allowing statistical testing to be performed across multiple samples using a unified platform rather than requiring separate specialized setups for each dish, thereby reducing overall system complexity while maintaining data reliability through consistent processing.
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 allows for the precise identification and selection of highly productive cells or colonies by quantifying signal levels outside the cell, improving the accuracy of productivity assessment and colony selection, leading to more effective cell line development and biotherapeutic production.
Implementation Method 1
The signal may be a fluorescent signal (e.g. from a fluorescently-labelled antibody or inhibitor)
Data Source
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AI summary
The present invention provides in one aspect a method for determining a production level of a polypeptide of interest by a cell or cell colony, comprising obtaining an image of one or more cells or cell colonies; and analyzing the image to detect a signal associated with the polypeptide of interest; wherein a signal level is determined for each cell or cell colony based on signal values from a predefined area surrounding the cell or cell colony, the signal level being indicative of the production level of the polypeptide of interest by the cell or cell colony.