<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>cryo2go</title><link>https://www.spreaker.com/podcast/cryo2go--4143476</link><description><![CDATA[cryoEM related publications discussed with the authors, to get the story behind the science.<br /><br />If you have comments, questions, complaints or requests for a specific paper, please hmu on Twitter @cryo2go with a link to the episode.]]></description><atom:link href="https://www.spreaker.com/show/4143476/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Science</category><copyright>Copyright Benjamin Himes</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg</url><title>cryo2go</title><link>https://www.spreaker.com/podcast/cryo2go--4143476</link></image><lastBuildDate>Sat, 22 Oct 2022 12:25:03 +0000</lastBuildDate><itunes:author>Benjamin Himes</itunes:author><itunes:owner><itunes:name>Benjamin Himes</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg"/><itunes:subtitle>cryoEM related publications discussed with the authors, to get the story behind the science.

If you have comments, questions, complaints or requests for a specific paper, please hmu on Twitter @cryo2go with a link to the episode.</itunes:subtitle><itunes:summary><![CDATA[cryoEM related publications discussed with the authors, to get the story behind the science.<br /><br />If you have comments, questions, complaints or requests for a specific paper, please hmu on Twitter @cryo2go with a link to the episode.]]></itunes:summary><itunes:category text="Science"/><itunes:explicit>clean</itunes:explicit><itunes:type>episodic</itunes:type><item><title>Ellen D Zhong : cryoDrgn ❄️🐉</title><link>https://www.spreaker.com/episode/ellen-d-zhong-cryodrgn--47681204</link><description><![CDATA[In this episode, Ellen sits down with me to talk all things cryoDrgn ❄️🐉 <br /><br />Full transcript available at (<a href="https://github.com/bHimes/cryo2go/tree/main/transcripts/2020_EllenZhong_cryoDrgn)" rel="noopener">https://github.com/bHimes/cryo2go/tree/main/transcripts/2020_EllenZhong_cryoDrgn)</a><br /><br />cryoDrgn is the software she developed during her PhD to model continuous heterogeneity in cryoEM data. She uses a combination of coordinate MLP and variational autoencoders to do so. Listen in if you'd like to know more about what that means! We also touch on some of the details that speed up the training of the neural network that never quite fit into normal academic talks, including the use of the Hartley transform. No cryo2go pod is complete without some time spent on career trajectories, and Ellen's is quite interesting... listen to the end to hear us riff a bit on academia vs. industry : )]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/47681204</guid><pubDate>Sat, 27 Nov 2021 19:05:46 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/47681204/ellenzhong.mp3" length="185176800" type="audio/mpeg"/><itunes:author>Benjamin Himes</itunes:author><itunes:subtitle>In this episode, Ellen sits down with me to talk all things cryoDrgn ❄️🐉 &#13;
&#13;
Full transcript available at (https://github.com/bHimes/cryo2go/tree/main/transcripts/2020_EllenZhong_cryoDrgn)&#13;
&#13;
cryoDrgn is the software she developed during her PhD to...</itunes:subtitle><itunes:summary><![CDATA[In this episode, Ellen sits down with me to talk all things cryoDrgn ❄️🐉 <br /><br />Full transcript available at (<a href="https://github.com/bHimes/cryo2go/tree/main/transcripts/2020_EllenZhong_cryoDrgn)" rel="noopener">https://github.com/bHimes/cryo2go/tree/main/transcripts/2020_EllenZhong_cryoDrgn)</a><br /><br />cryoDrgn is the software she developed during her PhD to model continuous heterogeneity in cryoEM data. She uses a combination of coordinate MLP and variational autoencoders to do so. Listen in if you'd like to know more about what that means! We also touch on some of the details that speed up the training of the neural network that never quite fit into normal academic talks, including the use of the Hartley transform. No cryo2go pod is complete without some time spent on career trajectories, and Ellen's is quite interesting... listen to the end to hear us riff a bit on academia vs. industry : )]]></itunes:summary><itunes:duration>4630</itunes:duration><itunes:keywords>ai,coordinate-mlp,cryodrgn,cryoem,decoder,encoder,machine-learning,neural-network,structuralbiology,vae</itunes:keywords><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Christopher Barnes : part I - SARS COV2 broadly neutralizing antibodies</title><link>https://www.spreaker.com/episode/christopher-barnes-part-i-sars-cov2-broadly-neutralizing-antibodies--43856727</link><description><![CDATA[In this episode, we get to hear from Dr. Christopher Barnes, currently at Caltech, about his research combining structural biology and immunology. Christopher was able to rapidly deploy his expertise developed in studying the HIV virus to the emerging SARS-COV-2 outbreak early in the pandemic, publishing this article in May 2020. <br /><br />See here in Cell (<a href="https://www.cell.com/cell/fulltext/S0092-8674(20)30757-1?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867420307571%3Fshowall%3Dtrue" rel="noopener">https://www.cell.com/cell/fulltext/S0092-8674(20)30757-1?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867420307571%3Fshowall%3Dtrue</a>)<br /><br /><br />This interview was recorded in June 2020 amid escalating calls for police reform and social justice in a country that has a long history of racial inequity. In the next episode, part II, we talk about how and when scientists should get involved in issues that many of us, myself included, shy away from.<br /><br />Between publishing 13 papers in 2020 and locking down an Assistant Professorship at Stanford starting summer 2021, I count myself luck that Christopher made time to sit down and talk with me.<br /> <br />Enjoy the show!]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/43856727</guid><pubDate>Fri, 12 Mar 2021 13:17:01 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/43856727/christopherbarnes_pt1_bnabs.mp3" length="46491688" type="audio/mpeg"/><itunes:author>Benjamin Himes</itunes:author><itunes:subtitle>In this episode, we get to hear from Dr. Christopher Barnes, currently at Caltech, about his research combining structural biology and immunology. Christopher was able to rapidly deploy his expertise developed in studying the HIV virus to the emerging...</itunes:subtitle><itunes:summary><![CDATA[In this episode, we get to hear from Dr. Christopher Barnes, currently at Caltech, about his research combining structural biology and immunology. Christopher was able to rapidly deploy his expertise developed in studying the HIV virus to the emerging SARS-COV-2 outbreak early in the pandemic, publishing this article in May 2020. <br /><br />See here in Cell (<a href="https://www.cell.com/cell/fulltext/S0092-8674(20)30757-1?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867420307571%3Fshowall%3Dtrue" rel="noopener">https://www.cell.com/cell/fulltext/S0092-8674(20)30757-1?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867420307571%3Fshowall%3Dtrue</a>)<br /><br /><br />This interview was recorded in June 2020 amid escalating calls for police reform and social justice in a country that has a long history of racial inequity. In the next episode, part II, we talk about how and when scientists should get involved in issues that many of us, myself included, shy away from.<br /><br />Between publishing 13 papers in 2020 and locking down an Assistant Professorship at Stanford starting summer 2021, I count myself luck that Christopher made time to sit down and talk with me.<br /> <br />Enjoy the show!]]></itunes:summary><itunes:duration>2906</itunes:duration><itunes:keywords>blm,cryoem,immunology,sars-cov-2,science,structuralbiology</itunes:keywords><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Dari Kimanius : biological priors for cryoEM via machine learning</title><link>https://www.spreaker.com/episode/dari-kimanius-biological-priors-for-cryoem-via-machine-learning--43067704</link><description><![CDATA[In this episode, recorded a few days after the bioarxiv paper was released in March 2020, Dari expands on his work developing a set of biological priors using machine learning, which can then be used to regularize cryoEM reconstruction/refinement.<br /><br />We go beyond just the math and the methods and discuss the real what and why with respect to the motivation and prospects of this work.<br /><br />"Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination"<br /><br /><a href="https://www.biorxiv.org/content/10.1101/2020.03.25.007914v1" rel="noopener">https://www.biorxiv.org/content/10.1101/2020.03.25.007914v1</a><br />or<br />Now published in IUCrJ doi: 10.1107/S2052252520014384]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/43067704</guid><pubDate>Fri, 22 Jan 2021 18:33:18 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/43067704/darikimanius.mp3" length="61082226" type="audio/mpeg"/><itunes:author>Benjamin Himes</itunes:author><itunes:subtitle>In this episode, recorded a few days after the bioarxiv paper was released in March 2020, Dari expands on his work developing a set of biological priors using machine learning, which can then be used to regularize cryoEM reconstruction/refinement....</itunes:subtitle><itunes:summary><![CDATA[In this episode, recorded a few days after the bioarxiv paper was released in March 2020, Dari expands on his work developing a set of biological priors using machine learning, which can then be used to regularize cryoEM reconstruction/refinement.<br /><br />We go beyond just the math and the methods and discuss the real what and why with respect to the motivation and prospects of this work.<br /><br />"Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination"<br /><br /><a href="https://www.biorxiv.org/content/10.1101/2020.03.25.007914v1" rel="noopener">https://www.biorxiv.org/content/10.1101/2020.03.25.007914v1</a><br />or<br />Now published in IUCrJ doi: 10.1107/S2052252520014384]]></itunes:summary><itunes:duration>3818</itunes:duration><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Kanika Khanna : cryo-FIB-ET</title><link>https://www.spreaker.com/episode/kanika-khanna-cryo-fib-et--24223343</link><description><![CDATA[We hear from Dr Kanika Khanna about optimizing cryo-FIB-ET and how she used the technique to advance our understanding of bacterial sporulation, as discussed in eLife:<br /><br /><a href="https://doi.org/10.7554/eLife.45257.001" rel="noopener">https://doi.org/10.7554/eLife.45257.001</a><br /><br />She also shared here outreach work with [Asha foundation | (<a href="https://sd.ashanet.org/)" rel="noopener">https://sd.ashanet.org/)</a>]<br /><br />Her website can be found here (<a href="https://khannakanika11.wixsite.com/mysite/)" rel="noopener">https://khannakanika11.wixsite.com/mysite/)</a>]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/24223343</guid><pubDate>Thu, 26 Mar 2020 15:30:07 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/24223343/kanikakhanna_cryofibet.mp3" length="43196916" type="audio/mpeg"/><itunes:author>Benjamin Himes</itunes:author><itunes:subtitle>We hear from Dr Kanika Khanna about optimizing cryo-FIB-ET and how she used the technique to advance our understanding of bacterial sporulation, as discussed in eLife:&#13;
&#13;
https://doi.org/10.7554/eLife.45257.001&#13;
&#13;
She also shared here outreach work...</itunes:subtitle><itunes:summary><![CDATA[We hear from Dr Kanika Khanna about optimizing cryo-FIB-ET and how she used the technique to advance our understanding of bacterial sporulation, as discussed in eLife:<br /><br /><a href="https://doi.org/10.7554/eLife.45257.001" rel="noopener">https://doi.org/10.7554/eLife.45257.001</a><br /><br />She also shared here outreach work with [Asha foundation | (<a href="https://sd.ashanet.org/)" rel="noopener">https://sd.ashanet.org/)</a>]<br /><br />Her website can be found here (<a href="https://khannakanika11.wixsite.com/mysite/)" rel="noopener">https://khannakanika11.wixsite.com/mysite/)</a>]]></itunes:summary><itunes:duration>2700</itunes:duration><itunes:keywords>asha,cryofib,cyroet,elife,outreach,sporulation,structuralbiology</itunes:keywords><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>OsipSchwartz : LaserPhasePlate</title><link>https://www.spreaker.com/episode/osipschwartz-laserphaseplate--23373522</link><description><![CDATA[Phase contrast provides the best means to high resolution electron microscopy images. The phase shifts induced by the light atoms that make up biological specimens produce very little contrast, which is why we usually image out of focus. This takes advantage of phase shifts introduced by the CTF at the expense of more complicated image processing, and loss of information near CTF zeros.<br /><br />Phase plates offer a potential solution, but have been hampered by difficulty in use (Zernike phase plate) and loss of signal due to additional inelastic scattering (Volta phase plate)<br /><br />Scwartz et al. demonstrate the use of very intense (the most intense!) laser light to induce a selective phase shift enhancing image contrast in moderate energy (80 KeV) electrons.<br /><br />The project web page can be found at:<br /><a href="http://matterwave.physics.berkeley.edu/phase-contrast-electron-microscopy" rel="noopener">http://matterwave.physics.berkeley.edu/phase-contrast-electron-microscopy</a><br /><br />The paper discussed (Laser phase plate for electron microscopy) can be found: <a href="https://www.nature.com/articles/s41592-019-0552-2" rel="noopener">https://www.nature.com/articles/s41592-019-0552-2</a><br /><br />A follow-up paper detailing the physics behind the laser:<br /><a href="https://arxiv.org/abs/1910.14441" rel="noopener">https://arxiv.org/abs/1910.14441</a>]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/23373522</guid><pubDate>Mon, 02 Mar 2020 02:19:56 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/23373522/osipschwartz_laserphaseplate.mp3" length="32836962" type="audio/mpeg"/><itunes:author>Benjamin Himes</itunes:author><itunes:subtitle>Phase contrast provides the best means to high resolution electron microscopy images. The phase shifts induced by the light atoms that make up biological specimens produce very little contrast, which is why we usually image out of focus. This takes...</itunes:subtitle><itunes:summary><![CDATA[Phase contrast provides the best means to high resolution electron microscopy images. The phase shifts induced by the light atoms that make up biological specimens produce very little contrast, which is why we usually image out of focus. This takes advantage of phase shifts introduced by the CTF at the expense of more complicated image processing, and loss of information near CTF zeros.<br /><br />Phase plates offer a potential solution, but have been hampered by difficulty in use (Zernike phase plate) and loss of signal due to additional inelastic scattering (Volta phase plate)<br /><br />Scwartz et al. demonstrate the use of very intense (the most intense!) laser light to induce a selective phase shift enhancing image contrast in moderate energy (80 KeV) electrons.<br /><br />The project web page can be found at:<br /><a href="http://matterwave.physics.berkeley.edu/phase-contrast-electron-microscopy" rel="noopener">http://matterwave.physics.berkeley.edu/phase-contrast-electron-microscopy</a><br /><br />The paper discussed (Laser phase plate for electron microscopy) can be found: <a href="https://www.nature.com/articles/s41592-019-0552-2" rel="noopener">https://www.nature.com/articles/s41592-019-0552-2</a><br /><br />A follow-up paper detailing the physics behind the laser:<br /><a href="https://arxiv.org/abs/1910.14441" rel="noopener">https://arxiv.org/abs/1910.14441</a>]]></itunes:summary><itunes:duration>2053</itunes:duration><itunes:keywords>biology,cryoem,lasers,microscopy,physics,science</itunes:keywords><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Mike Robertson : Gemspot</title><link>https://www.spreaker.com/episode/mike-robertson-gemspot--22482530</link><description><![CDATA[The first full episode. Mike Roberston tells about GEMSPOT, a pipeline for modelling ligands into their binding pockets that integrates constraints from the cryoEM map with traditional computational chemistry methods. The pre-print can be found on bioarxiv at doi: <a href="http://dx.doi.org/10.1101/750778" rel="noopener">http://dx.doi.org/10.1101/750778</a><br /><br />Mike is on twitter @BiophysicsGuy]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/22482530</guid><pubDate>Fri, 07 Feb 2020 15:25:02 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/22482530/mikerobertson_gemspot.mp3" length="28638562" type="audio/mpeg"/><itunes:author>Benjamin Himes</itunes:author><itunes:subtitle>The first full episode. Mike Roberston tells about GEMSPOT, a pipeline for modelling ligands into their binding pockets that integrates constraints from the cryoEM map with traditional computational chemistry methods. The pre-print can be found on...</itunes:subtitle><itunes:summary><![CDATA[The first full episode. Mike Roberston tells about GEMSPOT, a pipeline for modelling ligands into their binding pockets that integrates constraints from the cryoEM map with traditional computational chemistry methods. The pre-print can be found on bioarxiv at doi: <a href="http://dx.doi.org/10.1101/750778" rel="noopener">http://dx.doi.org/10.1101/750778</a><br /><br />Mike is on twitter @BiophysicsGuy]]></itunes:summary><itunes:duration>1790</itunes:duration><itunes:keywords>cryo-em,science</itunes:keywords><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A new intro for a new day</title><link>https://www.spreaker.com/episode/a-new-intro-for-a-new-day--22283011</link><description><![CDATA[I recorded my first interview a couple of days ago and have another scheduled for Saturday. I'm excited to get this thing rolling, so here's the intro, fresh off the mixer]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/22283011</guid><pubDate>Fri, 31 Jan 2020 22:31:01 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/22283011/a_new_intro_for_a_new_day.mp3" length="807078" type="audio/mpeg"/><itunes:author>Benjamin Himes</itunes:author><itunes:subtitle>I recorded my first interview a couple of days ago and have another scheduled for Saturday. I'm excited to get this thing rolling, so here's the intro, fresh off the mixer</itunes:subtitle><itunes:summary><![CDATA[I recorded my first interview a couple of days ago and have another scheduled for Saturday. I'm excited to get this thing rolling, so here's the intro, fresh off the mixer]]></itunes:summary><itunes:duration>51</itunes:duration><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a7babebb3ed3e07487c2fadec9688461.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
