
Insight from Imaging
Microscopy workshop tailored to Freeman Hbrabowski Scholars and Hanna H. Gray Fellows of HHMI
This 6-day microscopy workshop by the Advanced Imaging Center (AIC) at Janelia Research Campus is custom-designed for HHMI Freeman Hrabowski Scholars and Hanna H. Gray Fellows.
The workshop aims to guide attendees to design and execute research programs that use informative and quantitative microscopy. Due to its high-level focus, this workshop is not aimed towards trainees or lab staff. It provides attendees a conceptual framework for extracting quantitative biological insights from imaging data. The program includes a broad overview of a wide range of current microscopy technologies. In addition to learning about conventional imaging techniques, participants will gain the knowledge necessary to adopt advanced technologies such as light-sheet microscopy, super-resolution imaging, and two-photon microscopy. Modern image analysis methods, including machine learning, will also be covered.
In addition to lectures, hands-on labs, and data-analysis sessions, this workshop also incorporates in-depth discussions and group activities. These will challenge attendees to think critically when integrating quantitative microscopy into their research programs. Finally, participants will have the individualized opportunity to consult with the AIC staff and receive personalized feedback on how they can best utilize microscopy in general and technologies at the AIC specifically.
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All Hrabowski Scholars and Gray Fellows are eligible to apply. Applicants should describe their current and/or future microscopy needs and imaging challenges in the application form. Please feel free to contact the AIC with any questions.
Location: HHMI Janelia Research Campus, Ashburn, Virginia
Workshop Dates: 2-8 November, 2025
Application Deadline: August, 2025


Strategic discussions on a range of microscopy technologies: From conventional to advanced approaches
This workshop will cover :
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Microscopy​​
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Widefield & Confocal microscopy
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Light-sheet microscopy
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Two-photon microscopy
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Super-resolution microscopy
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Electron Microscopy
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Label Free Imaging
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Expansion Microscopy
Image Processing & Analysis
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Fundamentals of digital images​
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Basic principles of image processing
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Object segmentation
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Morphometric Analysis
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Motion Tracking
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Machine learning
Group Activities and Discussions
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Hypothesis Formulation
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Quantitative Experimental Design​
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​Proper Microscope Choice
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Imaging Parameter Selection​​
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Light-Biology Interactions
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Sample Preparation

Emphasis on quantitative tools to extract biological insight from microscopy data
Core Teaching Team

Teng-Leong Chew
Co-Director
Teaching Staff

Jesse Aaron
Teaching Staff

Rachel Lee
Co-Director
Teaching Staff
