News https://openbioimageanalysis.org/ en Free online image analysis workshop for beginners! https://openbioimageanalysis.org/news/free-online-image-analysis-workshop-beginners <span>Free online image analysis workshop for beginners!</span> <span><span lang="" about="https://openbioimageanalysis.org/%5Bvsite%3A1%5D/user/sysadmin" typeof="schema:Person" property="schema:name" datatype="">sysadmin</span></span> <span>Tue, 04/27/2021 - 15:40</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p>June 24: This interactive workshop will focus on adapting CellProfiler pipelines to new datasets. Undergrad / early grad students will be prioritized, but all are welcome. Sign up (space limited): <a href="https://t.co/SoypmwZs94?amp=1" target="_blank" rel="noreferrer noopener">http://broad.io/cellprofilerworkshopsignup</a>.<br><br> This course will be jointly led by Julia van den Beemd and Jan de Boer from Eindhoven University of Technology with Nasim Jamali and Pearl Ryder from the Broad Institute of MIT and Harvard with support from COBA. Please let us know if you have questions.<br><br><em><strong>The sign up closes on May 15, so don’t delay!</strong></em></p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-04-26T12:00:00Z">Monday, April 26, 2021, 12:00pm</time> </div> Tue, 27 Apr 2021 19:40:33 +0000 sysadmin 3599 at https://openbioimageanalysis.org Free online image analysis workshop for beginners! https://openbioimageanalysis.org/news/free-online-image-analysis-workshop-beginners <span>Free online image analysis workshop for beginners!</span> <span><span lang="" about="/user/imagingadminbroadinstituteorg" typeof="schema:Person" property="schema:name" datatype="" content="imagingadmin@broadinstitute.org">imagingadmin@b…</span></span> <span>Mon, 04/26/2021 - 11:05</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item">June 24: This interactive workshop will focus on adapting CellProfiler pipelines to new datasets. Undergrad / early grad students will be prioritized, but all are welcome. Sign up (space limited): <a href="https://t.co/SoypmwZs94?amp=1" target="_blank" rel="noreferrer noopener">http://broad.io/cellprofilerworkshopsignup</a>.<br><br>This course will be jointly led by Julia van den Beemd and Jan de Boer from Eindhoven University of Technology with Nasim Jamali and Pearl Ryder from the Broad Institute of MIT and Harvard with support from COBA. Please let us know if you have questions.<br><br><em><strong>The sign up closes on May 15, so don’t delay!</strong></em></div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-04-26T12:00:00Z">Monday, April 26, 2021, 12:00pm</time> </div> Mon, 26 Apr 2021 15:05:16 +0000 imagingadmin@broadinstitute.org 2811 at https://openbioimageanalysis.org Anne Carpenter featured in Science magazine https://openbioimageanalysis.org/news/anne-carpenter-featured-science-magazine <span>Anne Carpenter featured in Science magazine</span> <span><span lang="" about="/user/imagingadminbroadinstituteorg" typeof="schema:Person" property="schema:name" datatype="" content="imagingadmin@broadinstitute.org">imagingadmin@b…</span></span> <span>Thu, 06/10/2021 - 10:04</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p>COBA's Anne Carpenter today was featured in a <em>Science</em> magazine article on artificial intelligence and its revolutionary role in the field of microscopy. Read the full article <a href="https://www.sciencemag.org/features/2021/04/small-images-big-picture-artificial-intelligence-revolutionize-microscopy">here</a>. </p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-04-23T12:00:00Z">Friday, April 23, 2021, 12:00pm</time> </div> Thu, 10 Jun 2021 14:04:26 +0000 imagingadmin@broadinstitute.org 3661 at https://openbioimageanalysis.org Published: "Open-source deep-learning software for bioimage segmentation" https://openbioimageanalysis.org/news/published-open-source-deep-learning-software-bioimage-segmentation <span>Published: &quot;Open-source deep-learning software for bioimage segmentation&quot;</span> <span><span lang="" about="https://openbioimageanalysis.org/%5Bvsite%3A1%5D/user/sysadmin" typeof="schema:Person" property="schema:name" datatype="">sysadmin</span></span> <span>Tue, 04/27/2021 - 15:39</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p id="page-title">American Society for Cell Biology journal <em>Molecular Biology of the Cell</em> published a manuscript from COBA researchers surveying several new open-source software tools that aim to make deep-learning–based image segmentation accessible to biologists with limited computational experience.</p> <p>Read the paper <a href="https://www.molbiolcell.org/doi/pdf/10.1091/mbc.E20-10-0660" title="">here</a>.</p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-04-19T12:00:00Z">Monday, April 19, 2021, 12:00pm</time> </div> Tue, 27 Apr 2021 19:39:39 +0000 sysadmin 3598 at https://openbioimageanalysis.org Published: "Open-source deep-learning software for bioimage segmentation" https://openbioimageanalysis.org/news/published-open-source-deep-learning-software-bioimage-segmentation <span>Published: &quot;Open-source deep-learning software for bioimage segmentation&quot;</span> <span><span lang="" about="/user/imagingadminbroadinstituteorg" typeof="schema:Person" property="schema:name" datatype="" content="imagingadmin@broadinstitute.org">imagingadmin@b…</span></span> <span>Mon, 04/26/2021 - 10:23</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p> American Society for Cell Biology journal <em>Molecular Biology of the Cell</em> published a manuscript from COBA researchers surveying several new open-source software tools that aim to make deep-learning–based image segmentation accessible to biologists with limited computational experience. </p> <p> Read the paper <a href="https://www.molbiolcell.org/doi/pdf/10.1091/mbc.E20-10-0660" title="">here</a>. </p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-04-19T12:00:00Z">Monday, April 19, 2021, 12:00pm</time> </div> Mon, 26 Apr 2021 14:23:01 +0000 imagingadmin@broadinstitute.org 2809 at https://openbioimageanalysis.org Anne Carpenter featured in "Automating Drug Discovery With Machine Learning" https://openbioimageanalysis.org/news/anne-carpenter-featured-automating-drug-discovery-machine-learning <span>Anne Carpenter featured in &quot;Automating Drug Discovery With Machine Learning&quot;</span> <span><span lang="" about="https://openbioimageanalysis.org/%5Bvsite%3A1%5D/user/sysadmin" typeof="schema:Person" property="schema:name" datatype="">sysadmin</span></span> <span>Tue, 04/27/2021 - 15:38</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p><em>Technology Networks</em> recently published "Automating Drug Discovery With Machine Learning" by Neeta Ratanghayra and featured a section on image-based profiling for drug discovery. COBA's Anne Carpenter was featured and spoke about image-based profiling in general as well as the use of machine learning to accelerate drug discovery.</p> <p>Carpenter noted, "Image-based profiling is powerful because looking at patterns in images can accelerate nearly every step of the drug discovery pipeline, from building diverse yet compact chemical libraries to primary screening assays, to target deconvolution for phenotypic screens, to the identification of biomarkers and diagnostics. It has even recently been shown to eliminate the need for primary screening by virtual prediction of some biological activities from existing images." </p> <p>She added, "Most of the proof of principle experiments in the field have used classical image processing and machine learning techniques, so I think we are about to see a rapid acceleration in the field by applying deep learning methods for feature extraction and prediction."</p> <p>Read the full article <a href="https://www.technologynetworks.com/drug-discovery/articles/automating-drug-discovery-with-machine-learning-347763" title="">here</a>.</p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-04-16T12:00:00Z">Friday, April 16, 2021, 12:00pm</time> </div> Tue, 27 Apr 2021 19:38:38 +0000 sysadmin 3597 at https://openbioimageanalysis.org Anne Carpenter featured in "Automating Drug Discovery With Machine Learning" https://openbioimageanalysis.org/news/anne-carpenter-featured-automating-drug-discovery-machine-learning <span>Anne Carpenter featured in &quot;Automating Drug Discovery With Machine Learning&quot;</span> <span><span lang="" about="/user/imagingadminbroadinstituteorg" typeof="schema:Person" property="schema:name" datatype="" content="imagingadmin@broadinstitute.org">imagingadmin@b…</span></span> <span>Mon, 04/26/2021 - 11:02</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p> <em>Technology Networks</em> recently published "Automating Drug Discovery With Machine Learning" by Neeta Ratanghayra and featured a section on image-based profiling for drug discovery. COBA's Anne Carpenter was featured and spoke about image-based profiling in general as well as the use of machine learning to accelerate drug discovery. </p> <p> Carpenter noted, "Image-based profiling is powerful because looking at patterns in images can accelerate nearly every step of the drug discovery pipeline, from building diverse yet compact chemical libraries to primary screening assays, to target deconvolution for phenotypic screens, to the identification of biomarkers and diagnostics. It has even recently been shown to eliminate the need for primary screening by virtual prediction of some biological activities from existing images."  </p> <p> She added, "Most of the proof of principle experiments in the field have used classical image processing and machine learning techniques, so I think we are about to see a rapid acceleration in the field by applying deep learning methods for feature extraction and prediction." </p> <p> Read the full article <a href="https://www.technologynetworks.com/drug-discovery/articles/automating-drug-discovery-with-machine-learning-347763" title="">here</a>. </p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-04-16T12:00:00Z">Friday, April 16, 2021, 12:00pm</time> </div> Mon, 26 Apr 2021 15:02:56 +0000 imagingadmin@broadinstitute.org 2810 at https://openbioimageanalysis.org Anne Carpenter featured on two podcasts: "Theory and Practice" and "The Microscopists" https://openbioimageanalysis.org/news/anne-carpenter-featured-two-podcasts-theory-and-practice-and-microscopists <span>Anne Carpenter featured on two podcasts: &quot;Theory and Practice&quot; and &quot;The Microscopists&quot;</span> <span><span lang="" about="https://openbioimageanalysis.org/%5Bvsite%3A1%5D/user/sysadmin" typeof="schema:Person" property="schema:name" datatype="">sysadmin</span></span> <span>Tue, 04/27/2021 - 15:34</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p>Today, two podcasts featuring Anne Carpenter were released. </p> <p>On Google Ventures' <em>Theory and Practice</em> season two, Carpenter spoke with Google Ventures' Anthony Philippakis  and  Alex Wiltschko from Google AI, focusing on machine learning in drug discovery. The full episode is available below.</p> <p><span class="media-element" style=><drupal-filter-placeholder callback="os_media.lazy_builders:renderMedia" arguments="0=2759&amp;1=753" token="C5zzUwCXASzIFrH6Aa1onzsnl1mBSUOdVHSpSGGkHSk"></drupal-filter-placeholder></span></p> <p>On <em>The Microscopists</em>, Carpenter spoke with Peter O'Toole not only about her career and the work she is doing with her lab, but a bit more about her life and interests as well. You can watch a video of the full episode below.</p> <p><span class="media-element" style=><drupal-filter-placeholder callback="os_media.lazy_builders:renderMedia" arguments="0=2760&amp;1=776" token="G-BqfJoyG5p6tzZ1-zpO8_W1C6iDvNM-0vSMwLeeeV4"></drupal-filter-placeholder></span></p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-04-08T12:00:00Z">Thursday, April 8, 2021, 12:00pm</time> </div> Tue, 27 Apr 2021 19:34:00 +0000 sysadmin 3596 at https://openbioimageanalysis.org Kevin Eliceiri Elected to AIMBE 2021 Fellows https://openbioimageanalysis.org/news/kevin-eliceiri-elected-aimbe-2021-fellows <span>Kevin Eliceiri Elected to AIMBE 2021 Fellows</span> <span><span lang="" about="/user/imagingadminbroadinstituteorg" typeof="schema:Person" property="schema:name" datatype="" content="imagingadmin@broadinstitute.org">imagingadmin@b…</span></span> <span>Fri, 02/26/2021 - 09:21</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p> The American Institute for Medical and Biological Engineering (AIMBE) announced today the election of 174 new members of the AIMBE College of Fellows in recognition of their distinguished and continuing achievements in medical and biological engineering. </p> <p> COBA's own Kevin Eliceiri is among those elected. </p> <p> According to the <a href="https://aimbe.org/2020-fellows/" title="">official press release</a>: </p> <blockquote> <p> Election to the AIMBE College of Fellows is among the highest professional distinctions accorded to a medical and biological engineer. The College of Fellows is comprised of the top two percent of medical and biological engineers. College membership honors those who have made outstanding contributions to “engineering and medicine research, practice, or education” and to “the pioneering of new and developing fields of technology, making major advancements in traditional fields of medical and biological engineering, or developing/implementing innovative approaches to bioengineering education.” </p> </blockquote> <blockquote> <p> AIMBE Fellows are among the most distinguished medical and biological engineers including 3 Nobel Prize laureates, 18 Fellows having received the Presidential Medal of Science and/or Technology and Innovation, and 173 also inducted to the National Academy of Engineering, 83 inducted to the National Academy of Medicine and 36 inducted to the National Academy of Sciences. </p> </blockquote> <p> ABOUT AIMBE </p> <p> The American Institute for Medical and Biological Engineering (AIMBE) is a non-profit organization headquartered in Washington, D.C., representing the most accomplished individuals in the fields of medical and biological engineering. No other organization can bring together academia, industry, government, and scientific societies to form a highly influential community advancing medical and biological engineering. AIMBE’s mission is to provide leadership and advocacy in medical and biological engineering for the benefit of society. </p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-02-15T12:00:00Z">Monday, February 15, 2021, 12:00pm</time> </div> Fri, 26 Feb 2021 14:21:32 +0000 imagingadmin@broadinstitute.org 2759 at https://openbioimageanalysis.org Published: "The ImageJ ecosystem: Open-source software for image visualization, processing, and analysis" https://openbioimageanalysis.org/news/published-imagej-ecosystem-open-source-software-image-visualization-processing-and-analysis <span>Published: &quot;The ImageJ ecosystem: Open-source software for image visualization, processing, and analysis&quot;</span> <span><span lang="" about="https://openbioimageanalysis.org/%5Bvsite%3A1%5D/user/sysadmin" typeof="schema:Person" property="schema:name" datatype="">sysadmin</span></span> <span>Tue, 04/27/2021 - 15:42</span> <div class="field field--name-body field--type-text-with-summary field--label-hidden field--mode-rss field--item"><p>Protein Society journal <em>Protein Science </em>published a manuscript from co-PI Kevin Eliceiri's group highlighting the ImageJ codebase and community, including a review of the core features of the ImageJ ecosystem and how ImageJ has responded to imaging technology advancements with new plugins and tools in recent years.</p> <p>Read the paper <a href="https://pubmed.ncbi.nlm.nih.gov/33166005/" title="">here</a>.</p> </div> <div class="field field--name-field-date field--type-datetime field--label-hidden field--mode-rss field--item"><time datetime="2021-01-30T12:00:00Z">Saturday, January 30, 2021, 12:00pm</time> </div> Tue, 27 Apr 2021 19:42:53 +0000 sysadmin 3600 at https://openbioimageanalysis.org