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RRobert92 committed Feb 8, 2024
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76 changes: 41 additions & 35 deletions index.html
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<!--- basic page needs -->
<meta charset="utf-8">
<title>NYSBC Labeling-athon 2024</title>
<title>NYSBC Label-athon 2024</title>
<meta name="description" content="NYSBC Labeling-athon 202">
<meta name="author" content="Robert Kiewisz">

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<header id="header">
<div class="header-logo">
<a href="index.html">NYSBC Labeling-athon 2024</a>
<a href="index.html">NYSBC Labeling-aton 2024</a>
</div>

<nav id="header-nav-wrap">
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<li class="current">
<a class="smoothscroll" href="#about" title="about">About</a>
</li>
<li>
<!-- <li>
<a class="smoothscroll" href="#program" title="talks">Program</a>
</li>
</li> -->
<li>
<a class="smoothscroll" href="#organizer-or" title="organizers">Organizers</a>
</li>
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<div class="row contents">
<div class="home-content-left">
<h1 data-aos="fade-up">
NYSBC Label-athon: <br>
NYSBC Labeling-aton: <br>
Advancing Cryo-EM <br>
Particle Picking with Topaz

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</div>
<div class="col-eight">
<p>
The NYSBC Labeling-athone 2024 workshop, hosted at the
FlatIron Institute in the heart of New York City,
from April 24-25, 2024.

This three-day event offers a unique blend of theoretical
insights and hands-on experiences in the exciting field of cryo-electron
tomography (cryo-ET). You'll be guided through the theory of cryo-ET process, from specimen preparation to data acquisition,
and computational processing. <br>

It's not just learning; it's about making a real impact. <br>
As a participant, you'll contribute to a pioneering training
dataset and even have the chance to co-author a publication. We are planning to create a one-of-a-kind multi-label dataset from protein mixtures that will be instrumental in developing new machine-learning models. As a participant, you will help us create this dataset with our new intuitive pipeline, an active learning approach for
human-in-the-loop particle picking.
The NYSBC Label-aton 2024 workshop, hosted at the FlatIron Institute in the heart of New York City, from April 24-25, 2024. <br><br>

<h3>Workshop Highlights [TL;DR]:</h3>
<ul>
<li>Understanding the Cryo-EM pipeline from theory to practice.</li>
<li>Insights and discussion with renowned Cryo-EM experts.</li>
<li>Active participation in creating a multi-label dataset for ML advancements.</li>
<li>Co-authorship opportunity in a pioneering publication.</li>
</ul>

This three-day event offers a unique blend of theoretical insights and hands-on experiences in the exciting field of cryo-electron tomography (cryo-ET).
You'll be guided through the theory of cryo-ET process, from specimen preparation to data acquisition, and computational processing.
Whether you're just starting out or looking to deepen your understanding of Cryo-ET, this workshop offers valuable insights and knowledge to enhance your expertise. <br><br>

It's not just learning; it's about making a real impact.
A key component of our workshop is the introduction of the "Labeling-aton" initiative.
A hands-on session dedicated to showcasing our cutting-edge active learning workflow for particle picking from Cryo-ET images.
This workflow would involve human-in-the-loop approach which with the help of participants would allow us to interacts with machine learning algorithm to actively refine our model and create multi-particle curated datasets.
By contributing to this dataset, participants will not only gain practical experience in particle picking but also have the opportunity to be co-authors of a groundbreaking publication. <br><br>
</p>
</div>
</div>
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</div>
</section>

<section id="program">
<!-- <section id="program">
<div class="row about-program">
<div class="col-three">
<h1 class="intro-header" data-aos="fade-up">Preliminary Program</h1>
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</td>
<td rowspan="12">
<div class="event">
<button class="event-general">Toure at NYSBC</button>
<button class="event-general">Tour at NYSBC</button>
<div class="event-details">
<p>TBD</p>
</div>
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</div>
</div>
</div>
</section>
</section> -->

<section id="organizer-or">
<div class="row">
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<ul class="organizer-or-badges">
<li>
<a class="badge-org-rk" data-aos="fade-up"></a>
<a class="badge-org-tb" data-aos="fade-up"></a>
<p>
<h5>Robert Kiewisz</h5>
<h5>Tristan Bepler</h5>
Simons Machine Learning Center <br>
NY, USA
</p>
</li>
<li>
<a class="badge-org-tb" data-aos="fade-up"></a>
<a class="badge-org-adm" data-aos="fade-up"></a>
<p>
<h5>Tristan Bepler</h5>
<h5>Alex De Marco</h5>
Simons Machine Learning Center <br>
NY, USA
</p>
</li>
<li>
<a class="badge-org-adm" data-aos="fade-up"></a>
<a class="badge-org-dg" data-aos="fade-up"></a>
<p>
<h5>Alex De Marco</h5>
<h5>Darnell Granberry</h5>
Simons Machine Learning Center <br>
NY, USA
</p>
</li>
<li>
<a class="badge-org-an" data-aos="fade-up"></a>
<a class="badge-org-ai" data-aos="fade-up"></a>
<p>
<h5>Alex Nobel</h5>
<h5>Aygul Ishemgulova</h5>
Simons Machine Learning Center <br>
NY, USA
</p>
</li>
<li>
<a class="badge-org-dg" data-aos="fade-up"></a>
<a class="badge-org-nj" data-aos="fade-up"></a>
<p>
<h5>Darnell Granberryl</h5>
<h5>Navya Jain</h5>
Simons Machine Learning Center <br>
NY, USA
</p>
</li>
<li>
<a class="badge-org-ai" data-aos="fade-up"></a>
<a class="badge-org-rk" data-aos="fade-up"></a>
<p>
<h5>Aygul Ishemgulova</h5>
<h5>Robert Kiewisz</h5>
Simons Machine Learning Center <br>
NY, USA
</p>
</li>
<li>
<a class="badge-org-nj" data-aos="fade-up"></a>
<a class="badge-org-an" data-aos="fade-up"></a>
<p>
<h5>Navya Jain</h5>
<h5>Alex Nobel</h5>
Simons Machine Learning Center <br>
NY, USA
</p>
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