UNMC_Acronym_Vert_sm_4c
University of Nebraska Medical Center

Training and Resources

  • Instrument specifications can be found on the AMCF Instrument Page
  • Samples must be secured (spiked holder, or super glued) sample base for imaging. Small samples (i.e. zebrafish) should be embedded in 0.5 - 2% low temperature melting agarose (Sigma Aldrich A9414) prior to mounting/imaging. Consult with AMCF prior to scheduling your imaging session.
  • Reference protocols for tissue clearing/processing using the X-Clarity System:
  • Overview and Applications for Light-Sheet Microscopy (YouTube) Overview of LSFM, tissue clearing, and imaging; seminar presented by Pablo Ariel, UNC.
  • Watch on-demand Miltenyi Biotec training courses to learn more about sample preparation, imaging logistics, and to view some representative studies.
  • Learn more about Logos Biosystems DeepLabel antibody staining kits for LSFM imaging. Depending on demand, AMCF will purchase supplies in bulk to offer discounted pricing to individual research groups.
  • X-Clarity is a de-lipidation process, dense tissues with low lipid content may not become completely transparent.
  • Cleared samples may be stored in PBS (will cause some temporary whitening) post clearing but must be fully infiltrated in refractive index matching media (RIM) > 24h prior to imaging.
  • Logos X-Clarity mounting solution (RIM) with representative labeling protocol.
  • Researchers should minimize sample sizes to facilitate successful tissue clearing and efficiently manage resultant volumetric image file sizes (10’s to 100’s of GBs).
  • ImSpector software on the ultramicroscope performs limited visualization, see AMCF’s working with images post LSFM imaging document.
  • LSFM is relatively low-resolution imaging in large volumes, higher resolution (≥ 0.25 um x,y, ≥ 0.5 um z) can be obtained in the UNMC Multiphoton Intravital & Tissue Imaging Core.
  • Review the Data Analysis Workroom Terms of Use Agreement
  • Cancer Research: Imaris for Cancer Research includes a variety of spatial interaction measurements, such as: distribution of objects around a Surface, shortest distance, volume overlap and nearest neighbor analysis. Imaris offers unique segmentation/object detection tools (like Spots and Surfaces) to better visualize and understand the sample in 3D.
  • Cell Biology: Imaris for Cell Biologists provides the functionality for smart cell-based segmentation, analysis on a per cell basis and discovery of intracellular relationships. The package includes automated tracking, detection of cell division and creation of interactive lineage trees along with statistical tests and a two-way interface for customization in Matlab, Java or Python.
  • Developmental Biology: Featuring state of the art volume rendering, plus object detection and tracking tools Imaris for Tracking is perfect for researchers who want to automatically analyze moving objects including those that divide over time, create a lineage tree plot and generate quantitative information from their image data.
  • Neuroscience: Enables 3D reconstruction of neurons and arborization analysis. It can resolve various structures, such as axons and dendrites, somas, dendritic spines, microglia, or astrocytes. It calculates a range of neuron-specific measurements, such as dendrite or segment length, orientation, diameter, branch level, spine density and spine shape analysis and classification. This is also perfect for tracing blood vessels and getting measurements like segment length and total length, diameter, mean segment intensity and orientation of segments.
  • Visit IMARIS homeschool to find a diverse array of training videos/tutorials.
  • Review the IMARIS User Manual
  • Imaris Viewer is a free 3D/4D microscopy image viewer for viewing raw images. Share images, take your high performance Imaris renderings wherever you go. Imaris Viewer works with over 40 microscopy file types, including Tiff.

Vendor-Led Microscopy Learning Modules


General Microscopy Courses

  • Image Repositories & Data Management Overview
    These educational modules focus on image data management, including sharing, reuse, and the use of image data repositories like OMERO. Presented by Global BioImaging.
  • iBiology Fluorescence Microscopy Course
    This comprehensive online series covers optics, transmitted light, fluorescent sample imaging, camera function, image processing, and advanced light microscopy, including practical lab sessions.
  • Introduction to Confocal Microscopy
    This YouTube lecture recording introduces foundational concepts for planning and conducting biomedical research using confocal microscopy. Presented by Pablo Ariel, UNC.
  • Introduction to Fluorescence Light Microscopy
    This YouTube lecture recording introduces key terminology like contrast, resolution, and widefield microscopy, emphasizing the importance of biological scales in biomedical imaging. Presented by Pablo Ariel, UNC.
  • MicroCourses
    This YouTube channel features short educational videos covering a variety of light microscopy topics. Presented by microscopists from Harvard Medical School's Nikon Imaging Center.
  • Microtutor
    This interactive platform offers self-paced virtual light microscopy education for early-career scientists, covering fundamental principles and practical experimental information.
  • MyScope
    These interactive training modules provide an online learning environment to understand the fundamental science behind different microscopes, their measurement capabilities, and offer realistic operating experience. Presented by Microscopy Australia.
  • Tutorial: Guidance for quantitative confocal microscopy
    This tutorial, published in Nature Protocols, guides researchers through acquiring quantitative confocal microscopy images, covering sample preparation, microscope selection, configuration, and planning rigorous experiments.

Recent AMCF Publications

AMCF users are obligated to fully acknowledge the facility and its funding sources in formal publications and presentations containing any data generated in the facility. 

  • Appropriately citing the AMCF helps us maintain internal and external funding allowing us to minimize hourly core usage fees.

View a listing of recent publications from researchers who generated data with assistance of the AMCF.