Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images.

ABSTRACT: Spatial transcriptomics techniques such as STARmap [15] enable the subcellular detection of RNA transcripts within complex tissue sections. The data from these techniques are impacted by optical microscopy limitations, such as shading or vignetting effects from uneven illumination during image capture. Downstream analysis of these sparse spatially resolved transcripts is dependent upon the correction of these artefacts. This paper introduces a novel non-parametric vignetting correction tool for spatial transcriptomic images, which estimates the illumination field and background using an efficient iterative sliced histogram normalization routine. We show that our method outperforms the state-of-the-art shading correction techniques both in terms of illumination and background field estimati

SUBMITTER: Rao BY 

PROVIDER: S-EPMC8905828 | biostudies-literature | 2021 Sep-Oct

REPOSITORIES: biostudies-literature