BoBiAC 2026 - Boston Bioimage Analysis Course at Harvard Medical School

The Boston Bioimage Analysis Course (BoBiAC) is a 6-day intensive program organized by the Image Analysis Collaboratory (IAC) and the Core for Imaging Technology & Education (CITE) at Harvard Medical School, offering a hands-on introduction to image processing and analysis on fluorescence microscopy images with Python at its core. Designed for beginners, the course requires no prior experience in image analysis or programming. The only prerequisite is an interest in learning Python and applying it to bioimage analysis concepts through practical exercises.

6th - 11th, July 2026
Harvard Medical School, Boston, MA
$350
Apply May 18th 2026
hms-logo

Is this course for you?

  • Are you a highly motivated beginner in bioimage analysis from any life science field with the need to quantify your fluorescence microscopy images?
  • Are you excited to start using Python in your bioimage analysis pipeline?
  • Do you want to learn different approaches to performing segmentation (semantic and instance) on your images to extract meaningful information?
  • Are you interested in colocalization analysis?

If you answered yes to these questions, then this course is for you!

General Information

Important Dates

Application deadline: May 18th, 2026 @ 11:59pm
Notification of acceptance: May 25th, 2026
Course dates: from Monday, July 6th to Saturday, July 11th from 9:00 am to 6:30 pm

Course Location

The course will take place at Harvard Medical School in the Longwood Campus. Download the map here.

Pricing

The participation fee is $350.
The fee covers course attendance, lunch, coffee and snacks every morning and afternoon and one social dinner.
We are currently unable to provide accommodation, travel assistance, or visa support. However, we might be able to offer a number of fee waivers to those who request one by completing the relevant section of the application form.
We also recommend looking into travel grants from your institution or scientific organizations such as BioImaging North America (BINA), JCS-FocalPlane and Global BioImaging.

Participation & Selection

We will accept ~20 participants from academia and industry.
Participants will be selected based on their motivation that will be assessed through the application form.
Participation is mandatory for the entire week. Selected participants need to bring their own laptop with admin right.

Course Structure

The BoBiAC Course is designed to be highly interactive and hands-on, running daily from 9:00 am to 6:30 pm. Each day consists of a mix of invited lectures, lectures explaining key bioimage analysis concepts, interspersed with practical, hands-on exercises using Python or Python-based software. These exercises will be completed either step-by-step as a class or in small groups for collaborative problem-solving.

Every morning, we will start the day with coffee, an open discussion (Q&A) and a summary, where participants can ask questions about the previous day’s topics or discuss broader image analysis concepts. Active participation is highly encouraged throughout the course, and we invite you to ask questions and engage in discussions to make the most of this learning experience.

Coffee breaks are scheduled every morning and afternoon and lunch is provided, allowing participants to connect with instructors and peers in an informal setting.

Course Material

The full course material will be freely available online (this is the BoBiAC Book 2025).

Course Program

The 2026 program will be announced soon!
The one below is from the 2025 edition.

Contact

Image Analysis Collaboratory (IAC)
Harvard Medical School
25 Shattuck Street, Boston, MA 02115

Website: iac.hms.harvard.edu
Email: iac@hms.harvard.edu
Bluesky: @hms-iac.bsky.social

Core for Imaging Technology & Education (CITE)
Harvard Medical School
25 Shattuck Street, Boston, MA 02115

Website: cite.hms.harvard.edu

Support and Sponsors

Support

The BoBiAC Course is organized and taught with the generous support of experts from the following institutions:

Sponsors

If you are interested to get involved, please feel free to reach out to us.

Previous Editions

BoBiAC 2025