Skip to main content

Table 4 Unmixing results using several smFISH images from post-mortem human DLPFC brain tissue sections

From: SUFI: an automated approach to spectral unmixing of fluorescent multiplex images captured in mouse and post-mortem human brain tissues

 

RMSE

SØrensen–Dice

SSIM

DAPI

0.0056 ± 0.0017

0.9742 ± 0.0171

0.9360 ± 0.0185

Opal 520

0.0078 ± 0.0034

0.8837 ± 0.0350

0.9836 ± 0.0082

Opal 570

0.0125 ± 0.0052

0.8726 ± 0.0529

0.9757 ± 0.0111

Opal 620

0.0032 ± 0.0021

0.8926 ± 0.0972

0.9944 ± 0.0027

Opal 690

0.0058 ± 0.0028

0.6475 ± 0.1664

0.9365 ± 0.0169

Lipofuscin

0.0037 ± 0.0039

0.4190 ± 0.2409

0.9891 ± 0.0100

  1. Here we compare the performance of SUFI against ZEN unmixed images using three metrics (RMSE, dice similarity, SSIM) for the FCLSU unmixing method. For the three metrics, values range between 0 and 1 with better performance indicated by lower RMSE values and higher SSIM and dice similarity values. Mean ± standard deviation over all images is reported for each channel