Microfluidic In-Pen Assays Using Reporter Diffusion Imaging
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Solution Overview
Problem
Existing technologies face challenges in accurately determining the quantity of analytes produced by micro-objects confined within microfluidic chambers, particularly due to sensitivity to the position of biological micro-objects and fluctuations in analyte concentration.
Innovation Solution
An imaging system and method that includes an image acquisition unit, an image processing unit, and a scoring engine to define an area of interest within microfluidic chambers, analyzing image areas sensitive to analyte concentration fluctuations and least sensitive to micro-object position, using soluble reporter molecules with detectable labels to quantify analyte secretion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging methods are used to measure analyte concentration in microfluidic chambers, then the measurement process is simple, but the measurement precision is poor due to sensitivity to micro-object position and analyte concentration fluctuations
Solution Approach 1:
The chamber is divided into multiple image areas, each associated with different micro-objects. By segmenting the measurement space and analyzing analyte concentration fluctuations in each segment independently, the system achieves more precise measurements while accounting for local variations in micro-object position and analyte distribution.
Solution Approach 2:
The system transitions from measuring absolute analyte concentration to measuring analyte concentration fluctuations over time. This temporal dimension provides additional information that enables more precise quantification of analyte production by micro-objects, overcoming limitations of spatial measurement alone.
2Measurement precision
If the entire chamber area is used for imaging, then the field of view is maximized, but the measurement accuracy decreases due to interference from micro-object position variations
Solution Approach 1:
Different image areas within the chamber are assigned different weights or levels of importance based on their sensitivity to analyte concentration fluctuations and insensitivity to micro-object position. By focusing analysis on locally optimized areas rather than treating the entire chamber uniformly, the system achieves higher measurement accuracy.
Solution Approach 2:
The chamber imaging area is segmented into multiple image areas, each optimized for specific measurement purposes. This segmentation allows the system to exclude or de-emphasize areas where micro-objects are located, thereby improving overall measurement accuracy while maintaining comprehensive field of view.
3Productivity
If rapid imaging is performed to capture analyte concentration changes, then the productivity of analysis is improved, but the measurement precision may be compromised due to reduced integration time
Solution Approach 1:
The system performs periodic imaging at multiple time points to capture analyte concentration fluctuations. By analyzing the temporal pattern of these periodic measurements, the system can distinguish between signal variations caused by analyte production and those caused by noise or position drift, thereby maintaining precision while enabling rapid analysis.
Solution Approach 2:
The system establishes baseline measurements of analyte concentration at initial time points before significant changes occur. These preliminary measurements serve as reference values that enable more precise quantification of subsequent analyte production, allowing rapid imaging without sacrificing measurement accuracy.
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
Enables precise quantification of analyte production by micro-objects, facilitating clonal line development and secretion level assessment, with improved accuracy and sensitivity.
Implementation Method 1
a second fluidic medium into the flow region, wherein the second fluidic medium comprises a plurality of soluble reporter molecules
Implementation Method 2
bind the secreted analyte and a detectable label
Implementation Method 3
detectable label
Data Source
AI summary
Methods, systems and kits are described herein for detecting the results of an assay. In particular, the methods, systems and devices of the present disclosure rely on a difference between the diffusion rates of a reporter molecule and an analyte of interest in order to quantify an amount of analyte in a microfluidic device. The analyte may be a secreted product of a biological micro-object.


