[WTI-trainee] FW: Janelia Bootcamp: Deep Learning for Microscopy Image Analysis, June 4-18, 2026

[Guerrero-Medina, Giovanna]

The following bootcamp course might be of interest.

Best,



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: Janelia Conferences <conference at janelia.hhmi.org>
Date: Thursday, November 6, 2025 at 8:15 AM
To: Guerrero-Medina, Giovanna <giovanna.guerrero-medina at yale.edu>
Subject: Janelia Bootcamp: Deep Learning for Microscopy Image Analysis, June 4-18, 2026

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A small, hands-on course to familiarize life science researchers with state-of-the-art deep learning techniques for microscopy image analysis.

Participants will gain an appreciation for the power and limitations of deep learning and broad knowledge of key tools for applying deep-learning methods to microscopy image data. The bootcamp will be organized into two phases:

Week 1 — Lectures & Exercises: From basic to advanced core deep-learning concepts with deep dives into established methods and tools to demonstrate in detail how existing state-of-the-art methods and tools operate.

Week 2 — Project Work: Work with experts to apply concepts from Week 1 to your own datasets and analysis problems. Faculty and TAs will assist with data preparation, problem formalization, network architecture design, tool selection, model training, prediction, and evaluation.

Janelia will cover the cost of accommodations and meals. Travel support is available for those in need. Participants are expected to stay for the duration.

Visit the course website<https://hhmi.us5.list-manage.com/track/click?u=3c8034ebf5d74492b5c8ef8c9&id=839ad4b3bc&e=7f13d17deb> for more details on prerequisites, materials provided, bringing data, and application requirements.

Application deadline is Jan 15, 2026 (11:59 p.m. ET)


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