[WTI-trainee] FW: Quantitative Imaging Course at CSHL – April 2026

[Guerrero-Medina, Giovanna]

Details below.

Cheers,


Giovanna Guerrero-Medina, PhD [A button for name playback in email signature] <https://www.name-coach.com/giovanna-guerrero-medina>

She/Her/Ella

Asst. Director for Professional Development & Community,

Wu Tsai Institute at Yale

giovanna.guerrero-medina at yale.edu<mailto:giovanna.guerrero-medina at yale.edu>

616.643.7666 (cell)

wti.yale.edu<https://wti.yale.edu/>


From: Waters, Jennifer <jennifer_waters at hms.harvard.edu>
Date: Friday, January 16, 2026 at 10:50 AM
Subject: Quantitative Imaging Course at CSHL – April 2026



I’d like to share an exciting opportunity for students and postdocs interested in advanced optical microscopy and image analysis. Talley Lambert, Florian Jug, Beth Cimini, Hunter Elliott, and I are organizing the Cold Spring Harbor Laboratory course Quantitative Imaging: From Acquisition to Analysis, which will run from April 6 - April 21, 2026. Applications<https://meetings.cshl.edu/coursesapplication.aspx?course=C-QICM&year=26> are due January 30, 2026.


I’ve been involved in this course since its launch in 2011, and it consistently receives outstanding feedback from participants. We admit only 16 students, ensuring a highly personalized learning environment that fosters interaction across disciplines, including biology, physics, computer science and bioengineering. With generous support from microscope vendors, students gain extensive hands-on experience using cutting-edge microscopes. Additionally, we exclusively use free, open-source software for image analysis, enabling participants to apply their new skills directly to their research without incurring extra costs.


If you know of any students or postdocs who could benefit from in-depth training in quantitative imaging, we would greatly appreciate it if you could encourage them to apply. Thanks to funding from NCI and HHMI, CSHL offers stipends<https://meetings.cshl.edu/information.aspx?course=C-QICM&year=26#reg> to many students to help offset tuition costs. (Please note that all financial aid request reviews and decisions are done by CSHL, not the course instructors - so please direct relevant questions to CSHL.)


Course Description:


Combining meticulous image acquisition with rigorous computational analysis allows researchers to extract rich, quantitative data from microscopy images, beyond what is visible by eye. This course emphasizes advanced fluorescence microscopy techniques for imaging diverse biological samples, from tissues and cells to single molecules. It is ideal for quantitative cell and molecular biologists, biophysicists, computer scientists and bioengineers.


Through lectures, discussions, and hands-on labs, participants will learn the entire quantitative imaging process—from photon detection to extracting biologically meaningful measurements using commercial microscopes and open-source tools.


Key Concepts Covered:

• Widefield fluorescence microscopy

• Laser scanning & spinning disk confocal microscopy

• CCD, EM-CCD & sCMOS cameras

• Total internal reflection fluorescence microscopy (TIRF)

• Light sheet microscopy

• Introduction to super-resolution imaging

• Imaging & analyzing ratiometric biosensors

• Fluorescent proteins & live sample imaging

• Image processing (filtering, de-noising, corrections, deconvolution)

• Image segmentation

• Quantitative shape & intensity measurements

• Object detection & tracking

• Machine learning for bioimage analysis

• Designing & troubleshooting quantitative imaging experiments


…and more!


More Information & Online Application:

Course Page & Application<https://meetings.cshl.edu/courses.aspx?course=C-QICM>


Thank you for your time, and I hope you’ll consider sharing this opportunity with those who may benefit.


Best regards,

Jennifer



Jennifer C. Waters, PhD
Director of the Core for Imaging Technology & Education (CITE)
Harvard Medical School
Social: https://bsky.app/profile/jencwaters.bsky.social
Microscopy Education: https://www.youtube.com/microcourses & https://microtutorcourses.org<https://microtutorcourses.org/>


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