Apr 05, 2023
Autofluorescence Microscopy Data Acquisition
Forked from a private protocol
- Angela Kruse1,
- Heath Patterson1,
- Jamie Allen1,
- Katerina Djambazova1,
- Maya Brewer1,
- Elizabeth Neumann1,
- Mark De Caestecker2,
- Danielle Gutierrez1,
- Jeff Spraggins1
- 1Vanderbilt University;
- 2Division of Nephrology, Vanderbilt University Medical Center
- VU Biomolecular Multimodal Imaging Center / Spraggins Research Group
- Human BioMolecular Atlas Program (HuBMAP) Method Development Community
Protocol Citation: Angela Kruse, Heath Patterson, Jamie Allen, Katerina Djambazova, Maya Brewer, Elizabeth Neumann, Mark De Caestecker, Danielle Gutierrez, Jeff Spraggins 2023. Autofluorescence Microscopy Data Acquisition. protocols.io https://dx.doi.org/10.17504/protocols.io.5jyl8jozdg2w/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: April 03, 2023
Last Modified: October 18, 2023
Protocol Integer ID: 79952
Keywords: HuBMAP, BIOMIC, MSRC, Vanderbilt, Kidney, Microscopy, Autofluorescence, Image Registration, autofluorescence microscopy images of tissue, rgb autofluorescence microscopy image of the tissue section, autofluorescence microscopy data acquisition scope, autofluorescence microscopy image, rgb autofluorescence, microscopy image, visualization of tissue morphology, imaging, tissue morphology, tissue, correlation of different imaging modality, different imaging modality, image, tissue section, data
Abstract
Scope:
Obtain autofluorescence microscopy images of tissues.
Expected Outcome:
An RGB autofluorescence microscopy image of the tissue section that enables visualization of tissue morphology as well as registration and correlation of different imaging modalities on a pixel by pixel basis.
Guidelines
Carefully handle slides with gloves. Finger prints and dust on slide can alter final image.
Materials
Zeiss AxioScan Slide Scanner
Slide Adapters for Scanner
Troubleshooting
If sectioned tissue is frozen, return to room temperature (~20oC) within a vacuum desiccator (~30 min), otherwise proceed directly to step 2.
Place microscope slide within adapter and insert into the Zeiss AxioScan Z1 Slide Scanner. Be sure to orient the slide with the label facing downward in the adapter.
For registration with IMS, match the orientation of the slides within the Zeiss adapter and the Bruker two-slide holder.
Open Zeiss Zen software
Change the file storage location to the appropriate local folder
Select appropriate scan profile template (e.g. HuBMAP-preAF_10x-LED-latest.czspf)
Name each slide with the date, donor, and modality information
Perform a preview scan of each slide
Define the imaging region that includes the tissue using the Tissue Detection Wizard. This can be found using the gear icon on the right of the Scan Profile selection for each slide. Outline the imaging region area using the polygon, square, circle, or spline tool.
Press 'Start Scan' to begin image acquisition.
The method will automatically begin generating by a focus map of the imaging region using the following parameters:
Coarse focusing of the tissue is performed using the following parameters:
EGFP filter set (peak emission 509 nm) as focus reference channel
~4 ms exposure time
~50-90% LED light source
Software autofocus
Default quality
Full search
Coarse sampling
Z-positions from 3900um to 4300um using ~14.24 µm step size
Coarse focus is performed with ~8 support points.
Note that exposure times, light source energy, and number of support points may vary based upon tissue type, age of LED light source, and tissue section size and quality.
Fine focusing of the tissue is performed using the following parameters:
EGFP filter set (peak emission 509 nm) as focus reference channel
~4 ms exposure time
~50-90% LED light source
Software autofocus
Default quality
Full search
Medium sampling
Z-range of 30um using ~7.12 µm step size.
Fine focus is performed with ~6 support points.
Note that exposure times, light source energy, and number of support points may vary based upon tissue type, age of LED light source, and tissue section size and quality.
The method will acquire a tiled brightfield and autofluorescence image using the following channel parameters:
DAPI (blue, reference channel)
~50-90% LED light source
~20 ms exposure time
EGFP (ex. 450-490 nm; em. 500-550, green)
~50-90% LED light source
~60 ms exposure time
DsRed (ex. 538-562 nm; em. 570-640, red)
~50-90% LED light source
~250 ms exposure time
Resulting czi files can be visualized using Zen or QuPath softwares.
If desired, images can be exported via Zen software under the Processing tab using the Image Export method in formats including Tiff, PNG, and JPEG.
This is expected to generate microscopy images that allow for untargeted visualization of tissue morphology.
Autofluorescence microscopy image of human kidney tissue