Flow Chamber Reference Marks for Holographic Fluid Analysis
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Solution Overview
Problem
Current methods for analyzing fluid samples, particularly peritoneal dialysis effluent, face challenges in generating sufficient image quality for accurate detection and counting of white blood cells due to variations in particle depth and mechanical inconsistencies, leading to inaccurate focus and interference from debris.
Innovation Solution
Incorporation of reference marks on the flow chamber device surfaces to calibrate the Angular Spectrum Propagation-based image focusing algorithm, allowing for precise determination of focal depths and segmentation of focal depth layers for optimal image focusing, reducing interference and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital holography image data is used to analyze fluid samples, then the ability to detect and count white blood cells is improved, but image quality becomes insufficient due to variations in particle depth and mechanical inconsistencies
Solution Approach 1:
Reference marks are introduced as intermediary elements on the flow chamber device surfaces. These reference marks serve as mediators between the imaging system and the fluid sample, providing stable calibration points that compensate for variations in particle depth and mechanical inconsistencies, thereby improving image quality consistency while maintaining detection accuracy
Solution Approach 2:
The system implements feedback by using the reference marks to calibrate the Angular Spectrum Propagation algorithm. The reference marks provide known positional information that feeds back into the image processing system, allowing for real-time adjustment and optimization of focal depth determination, which improves both image quality consistency and detection precision
2Measurement precision
If Angular Spectrum Propagation-based image focusing algorithm is used, then focus accuracy is improved, but mechanical variations and debris interfere with the analysis
Solution Approach 1:
The reference marks are extracted as separate calibration elements from the fluid sample analysis region. By isolating the reference marks on the flow chamber surfaces, the system can perform calibration independently of the fluid sample, removing the interference of mechanical variations and debris from the focus accuracy determination
Solution Approach 2:
The reference marks act as intermediary calibration standards that mediate between the imaging system and the fluid sample. They provide stable, known reference points that allow the Angular Spectrum Propagation algorithm to accurately determine focal depth without being affected by mechanical variations or debris in the fluid sample
3Measurement precision
If reference marks are incorporated on flow chamber device surfaces, then focal depth calibration accuracy is improved, but device complexity increases
Solution Approach 1:
The reference marks serve multiple functions: they provide focal depth calibration, enable geometric reference for image processing, and act as authentication indicators. By making the reference marks multi-functional, the system improves focal depth calibration accuracy without proportionally increasing device complexity, as the same structural elements serve multiple purposes
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 enables accurate and efficient focusing of fluid sample images, improving the detection and counting of white blood cells by minimizing the impact of mechanical variations and debris, leading to better specificity and earlier infection detection in peritoneal dialysis effluent analysis.
Implementation Method 1
receiving digital holography image data associated with a fluid sample
Implementation Method 2
focusing the upper reference mark image region based at least in part on an Angular Spectrum Propagation (ASP) based image focusing algorithm
Data Source
AI summary
Example methods, apparatuses, and computer program products related to analyzing fluid samples are provided. For example, an example computer-implemented method for analyzing fluid samples includes receiving digital holography image data associated with a fluid sample in a flow chamber device; extracting, from the digital holography image data, an upper reference mark image region associated with an upper reference mark and a lower reference mark image region associated with a lower reference mark; determining a maximum focal depth and a minimum focal depth associated with the digital holography image data, respectively; focusing each of a plurality of focal depth layers associated with the digital holography image data; and extracting, from the plurality of focal depth layers, one or more region of interest (ROI) portions that are associated with the fluid sample.