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Related Experiment Video

Updated: Oct 3, 2025

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

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Preprocessing methods for quantitative phase image stitching.

Piotr Stȩpień¹, Wojciech Krauze¹, Małgorzata Kujawińska¹

¹Warsaw University of Technology, Institute of Micromechanics and Photonics, ul. Sw. A. Boboli 8, Warsaw, 02-525, Poland.

Biomedical Optics Express

|February 14, 2022

Summary

This summary is machine-generated.

Quantitative phase imaging requires stitching multiple phase maps for large fields of view. This study introduces robust preprocessing methods to enhance accuracy and minimize errors in stitched images.

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Area of Science:

Biomedical Optics
Microscopy
Image Processing

Background:

Quantitative phase imaging (QPI) is essential for analyzing cell cultures and histopathological slides.
Large field-of-view imaging necessitates stitching multiple high-resolution phase maps.
Phase images possess unique properties requiring specialized preprocessing for accurate metrology.

Purpose of the Study:

To present methods for robust preprocessing of phase images for stitching.
To enhance the metrological value of stitched phase images.
To minimize error propagation in quantitative phase imaging preprocessing pipelines.

Main Methods:

Development and evaluation of various preprocessing techniques tailored for phase imaging.
Focus on methods that increase robustness against common phase imaging artifacts.
Implementation strategies to reduce cumulative errors across sequential processing steps.

Main Results:

Demonstrated effectiveness of presented methods in improving stitched phase map quality.
Quantified reduction in error propagation compared to standard preprocessing workflows.
Enhanced reliability of quantitative phase measurements from large stitched fields of view.

Conclusions:

Robust preprocessing is critical for accurate quantitative phase imaging of large samples.
The presented methods offer improved accuracy and reliability for stitched phase images.
This work contributes to advancing quantitative phase imaging in biological and medical applications.