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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

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Strategic discussions on a range of microscopy technologies: From conventional to advanced approaches

This workshop will cover :

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Microscopy​​

  • Widefield & Confocal microscopy

  • Light-sheet microscopy

  • Two-photon microscopy

  • Super-resolution microscopy

  • Electron Microscopy

  • Label Free Imaging

  • Expansion Microscopy

Image Processing & Analysis

  • Fundamentals of digital images​

  • Basic principles of image processing

  • Object segmentation

  • Morphometric Analysis

  • Motion Tracking

  • Machine learning

Group Activities and Discussions

  • Hypothesis Formulation

  • Quantitative Experimental Design​

  • ​Proper Microscope Choice

  • Imaging Parameter Selection​​

  • Light-Biology Interactions

  • Sample Preparation

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Emphasis on quantitative tools to extract biological insight from microscopy data

Core Teaching Team

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Teng-Leong Chew
Co-Director
Teaching Staff
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Jesse Aaron
Teaching Staff
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Rachel Lee
Co-Director
Teaching Staff
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Chad Hobson
Teaching Staff
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