Combined flat-field and frequency filter approach to correcting artifacts of multichannel two-photon microscopy.

ABSTRACT:

Significance

Multiphoton microscopy (MPM) is a useful biomedical imaging tool for its ability to probe labeled and unlabeled depth-resolved tissue biomarkers at high resolution. Automated MPM tile scanning allows for whole-slide image acquisition but can suffer from tile-stitching artifacts that prevent accurate quantitative data analysis.

Aim

We have investigated postprocessing artifact correction methods using ImageJ macros and custom Python code. Quantitative and qualitative comparisons of these methods were made using whole-slide MPM autofluorescence and second-harmonic generation images of human duodenal tissue.

Approach

Image quality after artifact removal is assessed by evaluating the processed image and its unprocessed counterpart using the root mean square er

SUBMITTER: Knapp T 

PROVIDER: S-EPMC10804314 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature