Membrane Filter Imaging for High-Throughput Particle Distinction
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Solution Overview
Problem
Current particle analysis systems for protein therapeutics are inefficient and lack the ability to rapidly and routinely identify the composition of particles, leading to delayed detection of harmful contaminants and suboptimal formulation selection due to the complexity and low throughput of existing identification techniques.
Innovation Solution
A method utilizing a membrane filter with imaging and fluorescence microscopy to distinguish between different types of particles based on fluorescence intensity profiles and morphology, allowing for high-throughput identification of proteinaceous and non-proteinaceous particulates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectroscopy, electron microscopy, or fluorescence microscopy are used for particle identification, then identification accuracy is improved, but throughput deteriorates and operational complexity increases
Solution Approach 1:
The patent combines multiple imaging techniques (brightfield imaging and fluorescence imaging) into a single integrated system that processes particles simultaneously. The dual-imaging capability allows the system to capture both morphological and compositional information in one measurement cycle, dramatically improving throughput while maintaining identification accuracy without requiring separate spectroscopy or electron microscopy steps.
Solution Approach 2:
The patent introduces a membrane filter as an intermediary component that captures and concentrates particles from the fluid sample onto a solid surface. This intermediary enables subsequent imaging analysis by providing a stable platform for both brightfield and fluorescence microscopy, facilitating high-throughput processing while maintaining particle integrity for accurate identification.
2Adaptability or versatility
If multiple imaging modes (brightfield and fluorescence) are used simultaneously, then particle identification capability is improved, but device complexity increases
Solution Approach 1:
The patent designs an integrated imaging system where a single microscope platform performs multiple functions: brightfield imaging for morphological characterization and fluorescence imaging for compositional identification. The system uses a multi-mode detector that can switch between detection modes, allowing one device to replace what would traditionally require separate spectroscopy instruments, electron microscopes, and fluorescence microscopes.
Solution Approach 2:
The patent employs a membrane filter to preliminarily concentrate and prepare particles for imaging analysis. By capturing particles on the filter surface before imaging, the system simplifies the subsequent analysis process and enables high-throughput processing, as particles are already positioned and stabilized for immediate imaging without requiring complex sample preparation steps.
3Quantity of substance
If conventional particle counting techniques are used, then particle count measurement is improved, but particle composition identification is lost
Solution Approach 1:
The patent transitions from single-mode imaging to multi-dimensional analysis by simultaneously capturing brightfield images (providing morphological information) and fluorescence images (providing compositional information). This dimensional expansion allows the system to quantify both particle count and composition, eliminating the information loss that occurs when using conventional single-mode counting techniques.
Solution Approach 2:
The patent creates complementary information copies through dual imaging: the brightfield image serves as a morphological copy showing particle shape and size, while the fluorescence image serves as a compositional copy indicating material identity. This copying approach allows simultaneous measurement of particle count, morphology, and composition without requiring separate analysis steps that would lose information.
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 rapid and accurate identification of particles in protein therapeutics, facilitating early detection of contaminants and improving formulation stability and safety by allowing for efficient formulation screening.
Implementation Method 1
a membrane filter with imaging and fluorescence microscopy to distinguish between different types of particles
Implementation Method 2
acquiring a brightfield image and a fluorescence image of filtered particles resting on the membrane filter
Data Source
AI summary
Methods for distinguishing particles in a fluid sample are disclosed. In one embodiment, the method includes acquiring a background SIMI image and a background brightfield image of a membrane filter while the membrane filter is free of a fluid sample, introducing a fluid sample onto the membrane filter, acquiring a SIMI image and a brightfield image of filtered particles resting on the membrane filter, distinguishing between the filtered particulates and the membrane filter based on the background SIMI image, generating a particle mask based on the SIMI image, and detecting beads via the particle mask. Methods for distinguishing particulates include distinguishing between viable and non-viable cell populations, distinguishing between cellular and non-cellular particulates, distinguishing between biological and non-biological particulates, distinguishing between first and second protein types, determining stability of monoclonal antibody drugs, identifying beads in a cell therapy, and detecting bacteria.