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For increased efficiency and standardization, automated urine screening is highly desirable. We explored the capabilities of quantitative phase imaging (QPI) by digital holographic microscopy (DHM) for the characterization and classification of urine sediments based on biophysical parameter sets. Digital off-axis holograms from a liquid control for urine analysis were acquired with a modular DHM system attached to a commercial optical microscope. From the retrieved quantitative phase images, various particle morphology parameters were extracted to differentiate and quantify particles contained in the test samples. Our results show that DHM represents a robust and promising tool for t label-free characterization of urine sediments with enhanced throughput.
Álvaro Barroso Peña,Marlene Kallass,Steffi Ketelhut,Jürgen Schnekenburger, andBjörn Kemper
"Classification of urine sediments using quantitative phase imaging by digital holographic microscopy", Proc. SPIE PC11966, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIX, PC1196605 (2 March 2022); https://doi.org/10.1117/12.2609471
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Álvaro Barroso Peña, Marlene Kallass, Steffi Ketelhut, Jürgen Schnekenburger, Björn Kemper, "Classification of urine sediments using quantitative phase imaging by digital holographic microscopy," Proc. SPIE PC11966, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIX, PC1196605 (2 March 2022); https://doi.org/10.1117/12.2609471