Fluorescent Co-Culture Imaging for Quantifying Tumor Stroma Status
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Solution Overview
Problem
Current methods for studying the modulatory effects of fibroblasts and immune cells on cancer therapy responses are expensive, time-consuming, and lack standardization, hindering the development of novel therapeutic options.
Innovation Solution
A method using fluorescent live-cell markers with distinct emission/excitation profiles to capture and analyze co-culture datasets of target cellular objects and stroma-forming cells, enabling the determination of stroma parameters and the effects of potential active agents on these co-cultures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mouse models are used to study modulatory effects of fibroblasts and immune cells, then the biological relevance is improved, but the cost and time consumption increase significantly
Solution Approach 1:
The patent creates in vitro co-culture models that copy the essential biological interactions of in vivo mouse models. By culturing target cells with fibroblasts and immune cells in controlled environments, the system replicates the modulatory effects observed in living organisms without requiring animal subjects, thereby maintaining biological relevance while eliminating the time and resource costs of animal modeling.
Solution Approach 2:
The patent replaces the complex mechanical and physiological systems of whole animal models with simplified in vitro culture systems. By substituting the in vivo biological system with an in vitro cell culture system, the research can study modulatory effects using only the necessary cellular components, reducing complexity while preserving the core biological interactions of interest.
2Reliability
If mouse models are used to study modulatory effects of fibroblasts and immune cells, then the biological relevance is improved, but the cost increases significantly
Solution Approach 1:
The patent creates in vitro co-culture models that copy the essential biological interactions of in vivo mouse models. By culturing target cells with fibroblasts and immune cells in controlled environments, the system replicates the modulatory effects observed in living organisms without requiring animal subjects, thereby maintaining biological relevance while eliminating the time and resource costs of animal modeling.
Solution Approach 2:
The patent employs disposable in vitro culture systems that can be easily set up and discarded after use, replacing expensive and resource-intensive animal models. The cell culture approach uses inexpensive culture media and standard laboratory equipment, making the research significantly more cost-effective while maintaining scientific validity.
3Adaptability or versatility
If mouse models are used, then the biological complexity is improved, but the standardization and high-throughput screening potential deteriorate
Solution Approach 1:
The patent segments the complex biological system into discrete cellular components (target cells, fibroblasts, immune cells) that can be independently cultured and manipulated. This segmentation allows each cell type to be optimized separately and enables parallel processing of multiple samples, thereby achieving both biological complexity and high-throughput screening capability simultaneously.
Solution Approach 2:
The patent employs dynamic co-culture systems where cell interactions can be adjusted and controlled in real-time. The system allows for flexible modification of cell ratios, culture conditions, and treatment protocols, enabling both complex biological studies and standardized high-throughput screening by adapting the configuration to specific experimental requirements.
4Reliability
If mouse models are used, then the biological realism is improved, but the endpoint measurement capability deteriorates
Solution Approach 1:
The patent replaces the difficult-to-measure in vivo endpoint parameters with easily quantifiable in vitro measurements. By conducting experiments in cell culture, the system enables precise measurement of cell viability, proliferation, and interaction parameters using standard laboratory assays, thereby improving measurement precision while maintaining biological realism through authentic cell-cell interactions.
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
Provides a standardized, cost-effective, high-throughput approach to quantify and monitor the modulatory effects of fibroblasts and immune cells, facilitating the development of novel therapeutics.
Implementation Method 1
the TCO (520) has been labelled with a fluorescent live-cell marker having a first emission/excitation profile, and the SCT (510, a to b) has been labelled with a fluorescent live-cell marker having a second emission/excitation profile different from the first emission/excitation profile
Data Source
AI summary
Provided is a method for determining a status of a sample comprising a co-culture comprising a target cellular object. TCO (520), and one or more stroma-forming cell types. SCT (510, a to b), wherein: the TCO (520) has been labelled with a fluorescent live-cell marker having a first emission/excitation profile, and the SCT (510, a to b) has been labelled with a fluorescent live-cell marker having a second emission/excitation profile different from the first emission/excitation profile, the method comprising the steps: capturing, during an acquisition event using a microscope, a dataset comprising: a first fluorescent image from the fluorescent live-cell marker having the first emission/excitation profile, and a second fluorescent image from the fluorescent live-cell marker having the second emission/excitation profile, and wherein: at least one dataset is captured, for each dataset, a stroma (512) is identified for the TCO (520), wherein: a stroma (512) comprises at least one cluster (514, a to d): a cluster (514, a to d) comprises a plurality of cells of the SCT (510, a to b), and each SCT (510, a to b) cell in the cluster (514, a to d) directly contacts the TCO (520) or indirectly contacts the TCO (520) via one or more other SCTs (510, a to b) cells, wherein the status of the sample is determined from at least one parameter of the stroma (512).


