Evaluation of tile artifact correction methods for multiphoton microscopy mosaics of whole-slide tissue sections

Thomas Knapp; Natzem Lima; Suzann Duan; Juanita L. Merchant; Travis W. Sawyer

doi:10.1117/12.2609634

2 March 2022 Evaluation of tile artifact correction methods for multiphoton microscopy mosaics of whole-slide tissue sections

Thomas Knapp, Natzem Lima, Suzann Duan, Juanita L. Merchant, Travis W. Sawyer

Author Affiliations +

Proceedings Volume 11966, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIX; 119660D (2022) https://doi.org/10.1117/12.2609634
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Multi-photon microscopy (MPM) is a useful biomedical imaging tool due, in part, to its capabilities of probing tissue biomarkers at high resolution and with depth-resolved capabilities. Automated MPM tile scanning allows for whole-slide image acquisition but suffers from tile-stitching artifacts that prevent accurate quantitative data analysis. We have investigated a variety of post-processing artifact correction methods using ImageJ macros and custom Python/ MATLAB code and present a quantitative and qualitative comparison of these methods using whole-slide MPM autofluorescence images of human duodenal tissue. Image quality is assessed via evaluation of artifact removal compared to the calculated mean square error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM) of the processed image and its raw counterpart. Consideration of both quantitative and qualitative results suggest a combination of flat-field based correction and frequency filtering processing steps provide improved artifact correction when compared to each method used independently to correct for tiling artifacts of tile-scan MPM images.

Conference Presentation

Citation Download Citation

Thomas Knapp, Natzem Lima, Suzann Duan, Juanita L. Merchant, and Travis W. Sawyer "Evaluation of tile artifact correction methods for multiphoton microscopy mosaics of whole-slide tissue sections", Proc. SPIE 11966, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIX, 119660D (2 March 2022); https://doi.org/10.1117/12.2609634

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