Microfluidic Fourier Ptychographic Microscopy for Biosignature Imaging
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Solution Overview
Problem
Existing microscopy technologies face challenges in capturing high spatial resolution images of biosignatures in Ocean Worlds, particularly in identifying features as small as 0.2 μm in size and at abundances of 100 cells/cc in liquid samples, while also needing to integrate with time-resolved Raman and fluorescence spectrometers for biosignature detection.
Innovation Solution
A dual-modality Fourier Ptychographic Microscope (FPM) integrated with a Microfluidic Device (MFD) for wide Field-of-View (FOV) and high lateral and axial resolution imaging, utilizing a dome LED array, polarization-sensitive camera, and deep learning algorithms to enhance imaging capabilities, including birefringence imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional microscopy technologies are used, then imaging capability is limited, but achieving high spatial resolution (0.2 μm features) and detecting low abundance biosignatures (100 cells/cc) becomes difficult
Solution Approach 1:
The patent combines multiple microscopy modalities (brightfield, darkfield, phase contrast, differential interference contrast) into a single FPM system with a unified optical path. The system merges illumination functions (coherent and incoherent) and integrates polarization-sensitive detection to achieve multiple imaging capabilities simultaneously, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The FPM system is designed as a universal imaging platform that can perform multiple imaging functions using a single objective lens and camera. By capturing raw images under different illumination conditions and processing them through algorithms, the system achieves high spatial resolution across various contrast modes without requiring separate specialized microscopes for each modality
2Reliability
If long exposure times are used to improve signal-to-noise ratio, then detection sensitivity increases, but imaging speed and productivity decrease
Solution Approach 1:
The system uses continuous illumination from LED arrays during image capture and performs computational denoising and super-resolution reconstruction through algorithms. This continuous action approach allows shorter exposure times while maintaining high signal-to-noise ratios by processing multiple frames and reconstructing high-resolution images computationally, thereby improving both reliability and productivity
Solution Approach 2:
The patent employs composite imaging approaches by combining multiple low-resolution images captured under different illumination angles and polarizations to reconstruct a single high-resolution image. This composite imaging method enhances signal-to-noise ratio and achieves super-resolution without requiring extremely long exposure times on individual frames
3Adaptability or versatility
If multiple imaging modalities are integrated, then detection capability improves, but device complexity and computational intensity increase
Solution Approach 1:
The patent segments the imaging functionality into distinct computational processing stages: raw image capture, preprocessing, super-resolution reconstruction, and modality-specific processing. Each imaging modality (brightfield, darkfield, phase contrast, DIC, polarization) is processed through dedicated algorithmic pipelines that operate on the same raw data, reducing hardware complexity while maintaining versatility
Solution Approach 2:
The system uses computational algorithms as intermediaries to transform single raw images into multiple imaging modalities. Rather than requiring separate optical paths and detectors for each modality, the FPM captures comprehensive raw data and uses software-based image processing to generate different contrast modes, significantly reducing device complexity while preserving adaptability
4Measurement precision
If high numerical aperture objective lenses are used, then lateral resolution improves, but axial resolution and working distance are compromised
Solution Approach 1:
The patent addresses the resolution trade-off by moving from purely optical resolution limits to computational resolution enhancement. The FPM captures images at multiple illumination angles and uses algorithms to synthesize high-resolution information in both lateral and axial dimensions. This dimensional approach to resolution recovery allows achieving high lateral resolution with lower NA objectives while also improving axial resolution through focus stacking and computational refocusing
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
The system achieves high-resolution imaging and biosignature detection in liquid samples, reducing exposure times and improving signal-to-noise ratio, enabling efficient detection of microscale and macroscopic features with reduced computational intensity.
Implementation Method 1
utilizing a dome LED array
Implementation Method 2
polarization-sensitive camera, and deep learning algorithms to enhance imaging capabilities, including birefringence imaging
Data Source
AI summary
Imaging devices, methods, and systems are disclosed. The disclosure includes a Fourier Ptychographic Microscope (“FPM”) compatible for integration to a Microfluidic Device (“MD”) to perform wide Field-of-View (“FoV”), high spatial resolution imaging (<1 μm), for biosignature detection and motility in liquid samples, for use, without limitation, as a space-based payload. Fourier ptychography (“FP”) algorithms adapted for reconstruction are disclosed. A processor board and camera combined with FP algorithms adapted for reconstruction are used to computationally reconstruct sub-micron resolution images. In certain embodiments, a dual-modality portable FPM performs wide FoV, high lateral and axial resolution imaging, and high-resolution birefringence imaging, for biosignature detection and motility in liquid samples. Various combinations of the disclosed devices, methods, and systems may be employed, depending on the particular requirements of each implementation.


