Published May 9, 2025 | Version 1.0
Dataset Open

LCI Light Microscopy Course: Correction of Uneven Illumination and Uneven Focus Dataset

Contributors

Project manager:

  • 1. BioImage Informatics unit
  • 2. ROR icon Science for Life Laboratory
  • 3. ROR icon National Bioinformatics Infrastructure Sweden
  • 4. EDMO icon Uppsala University

Description

This dataset was created for the online microscopy course given by the Live Cell Imaging core facility, Karolinska Institutet, Sweden.

Images for this dataset were acquired with the goal of demonstrating the effect of uneven illumination or uneven focus when stitching tiles. 

The images in all the folders with img2 in their name were acquired with the NIS Elements software to cover 15 consecutive fields of view of the sample. The sample consists of a 16 μm cryostat section of mouse kidney stained with a combination of fluorescent dyes. Alexa Fluor® 488 wheat germ agglutinin, a green-fluorescent lectin, was used to label elements of the glomeruli and convoluted tubules. The filamentous actin prevalent in glomeruli and the brush border were stained with red-fluorescent Alexa Fluor® 568 phalloidin ((Molecular probes, F24630). Finally, the nuclei were counterstained with the blue-fluorescent DNA stain DAPI.The samples were mounted in ProLong® antifade mounting medium.

Tiles were acquired with 1%, 5% or 10% overlap (named 1pc, 5pc and 10pc respectively). The images were either kept as separated images (sep) or stitched together into a single image using the NIS Elements software. 

The images in the uneven_focus folder correspond to the same sample and tiled images as above but additionally, z-stacks of 10, 50 and 100 um were acquired (z-step of 2.5 um). The laser power and exposure time were adjusted to have no saturation in the images.

The image was acquired on a Nikon Ti2 inverted microscope using a 10x air objective (NA 0.45), 477 excitation wavelength, 515/30 emission filter and pentaband DM (441/30; 511/26; 593/37; 684/34; 817/66). The camera is a sCMOS Kinetix (Photometrics), pixel size 6.5 um resulting in undersampling.

In order to produce separate tiff files and simplify the usage of stitching algorithms, a custom made script found here was developed in FIJI to split the tiled image into its individual tiles (also found zipped in img2_sep_files.zip). Configuration files were also added to the different folders to be used with the BASIC algorithm and the scripts shared in the workshop repository.

Files

img2_sep_files.zip

Files (1.9 GB)

Name Size Download all
md5:b903eac7e258c44489aa37f24d843a6c
463.7 MB Preview Download
md5:6217316009745241bae4ce9f7ad0a59b
219.0 MB Download
md5:56a08d7dac5c0c88a17f525b00e3a2b7
222.3 MB Download
md5:9e1a6e10663e6f1a5824aebe34a114a2
222.3 MB Download
md5:ee508b9048e62e82ec4229617bee3c6b
206.2 MB Download
md5:e98da95d1ea12d004b9ba2553b16c38c
609.7 MB Preview Download

Additional details

Related works

Is supplement to
Lesson: 10.5281/zenodo.15390007 (DOI)
Lesson: 10.5281/zenodo.15390210 (DOI)
Lesson: https://docs.github.com/en/repositories/archiving-a-github-repository/referencing-and-citing-content (Other)
Is supplemented by
Dataset: 10.5281/zenodo.15175309 (DOI)
Dataset: 10.5281/zenodo.15374754 (DOI)

Software

Repository URL
https://github.com/BIIFSweden/LCI_Workshop
Development Status
Active