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Course Description

If you do not currently hold an NIH-issued badge, we ask that you email us at registrar@faes.org as soon as you register so we can start the visitor process. Once you confirm that you do not hold a current NIH badge you will receive a secure link from the VisitNIH system which will prompt you to input your information; further steps may be necessary if you are a non-U.S. person visitor. We also ask that you review the NIH Visitor Information page, so you are prepared for your visit to the NIH Bethesda Campus. Please note this process may take up to 45 days. 

Bioimaging studies are rapidly becoming more quantitative due to enhanced imaging technologies, improved analytical and computational tools, as well as increasingly more stringent scientific scrutiny for accuracy and reproducibility. However, there is a paucity of systematic and introductory surveys easily accessible to biologists when faced with a plethora of technical issues in digital image processing and analyses. The lack of clarity on this issue, compounded by debate over the methods abundant in the niche literature, frequently leads to further confusion for those whose primary expertise is not in digital image processing. Unfortunately, erroneous or misguided application of methods in biological imaging analyses is not uncommon, and this can lead to artificial inflation or suppression of biological significance – often unintentionally. The goal of this three-day hands-on workshop is to survey the fundamentals of how image pixel data can be used to extract biologically meaningful information.

The curriculum includes:
Day 1 (Image Processing)

  • Fundamentals of digital images
  • Introduction to digital image processing
  • Fourier transformation in image processing
  • Objection segmentation

Day 2 (Image Analysis)

  • Object-based colocalization
  • Quantitative image analysis – intensity measurement, pixel-based colocalization, ratiometric image analysis
  • Movement measurement
  • Object tracking

Day 3 (Machine learning)

  • Fundamental principles of machine learning
  • Machine learning tools for image classification and segmentation 
  • Tools for image restoration and image translation
  • AI-facilitated event-driven microscopy 
  • Importance of high-quality training data 

Prerequisites

There are no prerequisites for this workshop.

Credit

Although no grades are given for courses, each participant will receive Continuing Education Units (CEUs) based on the number of contact hours.  One CEU is equal to ten contact hours. Upon completion of the course each participant will receive a certificate, showing completion of the workshop and 2.1 CEUs.

Refund and Cancellation

Click here to review our Workshop Refund and Cancellation Policy.

Scholarship and Funding

Are you a self-funded student? FAES offers scholarship options. Click here for more information and to apply. 

Looking for resources to help you acquire funding for your continued education? Click here for our funding justification guide. 

Photo Release

By registering for this event, you agree to allow FAES to take photographs of you during the event and to use these photos for promotional purposes, including on our website, social media, and marketing materials, without further compensation. You understand that you have no right to review or approve the final use of these images.

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To Register Click on "Add to Cart"

Section Title
Image Processing and Analysis
Type
In Person
Days
T, W, Th
Time
9:00AM to 5:00PM ET
Dates
Aug 11, 2026 to Aug 13, 2026
Schedule and Location
Contact Hours
24.0
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout $990.00
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