{"id":251,"date":"2022-12-01T14:39:00","date_gmt":"2022-12-01T14:39:00","guid":{"rendered":"http:\/\/www.ismicroscopy.org.il\/ism2023\/?page_id=251"},"modified":"2023-05-18T12:58:15","modified_gmt":"2023-05-18T12:58:15","slug":"workshop-program","status":"publish","type":"page","link":"http:\/\/www.ismicroscopy.org.il\/ism2023\/workshop-program\/","title":{"rendered":"Workshop Program"},"content":{"rendered":"<div style=\"text-align: center;\">Tutorial Workshop:<\/br><span style=\"font-weight:bold; font-size:22px; color: black;\">Image Processing In Microscopy<\/span><\/br><\/br><strong>the Hebrew University Faculty of Agriculture in Rehovot<\/strong><br \/>\n<strong>ROOMS<\/strong><\/br><\/br><\/div>\n<div style=\"text-align: center; margin-left: 15%; margin-right: 15%;\">\n<time datetime=\"2022-05-16\" class=\"icon\"><year>2023<\/year><month>May<\/month><day>22<\/day><\/time><\/div>\n<p><!-- \n\n<div style=\"text-align: center;\"><strong>For participation in the workshop please register on the following link.<\/strong><\/br><\/br>[jbutton icon=\"forum\" link=\"https:\/\/forms.gle\/Hnyov4fzpcXyZwoe8\" size=\"large\" newpage=\"yes\"]Workshop Registration[\/jbutton]<\/div>\n\n\n<\/br> --><\/p>\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 18px; color:#D2421B;\">Organizing Committee :<\/td>\n<\/tr>\n<\/table>\n<p><strong>Inna Popov<\/strong> &#8211; The Hebrew University of Jerusalem<br \/>\n<strong>Einat Zelinger<\/strong> &#8211; The Hebrew University of Jerusalem<\/p>\n<table style=\"width: 100%; border-top: 0px solid black; border-bottom: 2px solid #D2421B; \">\n<tbody>\n<tr>\n<td style=\"vertical-align: bottom; padding: 2px 0px; font-weight: bold; font-size: 18px; color: #d2421b;\" width=\"70%\">Workshop Program :<span style=\"font-weight: bold; font-size: 14px; color:black;\"><\/span><\/td>\n<td style=\"padding: 2px 0px; font-weight: bold; font-size: 18px;\" align=\"right\" width=\"30%\"><a href=\"http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Pre-meeting-Workshop-Program.pdf\"><img loading=\"lazy\" decoding=\"async\"  src=\"http:\/\/www.ismicroscopy.org.il\/ism2015\/files\/2014\/12\/print-icon.png\" alt=\"print ISM2023 workshop program\" width=\"50\" height=\"50\" style=\"vertical-align: bottom;\" data-id=\"1616\" \/><\/a> <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n<table id=\"tablepress-9\" class=\"tablepress tablepress-id-9 tbody-has-connected-cells\">\n<tbody>\n<tr class=\"row-1\">\n\t<td class=\"column-1\">09:20 - 09:30<\/td><td colspan=\"5\" class=\"column-2\">Greetings<\/td>\n<\/tr>\n<tr class=\"row-2\">\n\t<td colspan=\"6\" class=\"column-1\">MORNING SESSION<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Session Chair:<\/td><td colspan=\"5\" class=\"column-2\">TBA<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">09:30 - 10:10<\/td><td colspan=\"5\" class=\"column-2\"><b>Ehud Sivan<\/b>, Weizmann Institute <br \/>\n<span style=\"color: #da433f; font-weight:bold; font-style:italic;\"><a href=\"#L1\">INTRODUCTION TO DEEP LEARNING<\/a><\/span><\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">10:10 - 11:20<\/td><td colspan=\"5\" class=\"column-2\"><b>Ofra Golani<\/b>, Weizmann Institute <span style=\"color: #da433f; font-weight:bold; font-style:italic;\"><br \/>\n<a href=\"#L2\">A HITCHHIKER'S GUIDE TO THE UNIVERSE OF BIOIMAGE ANALYSIS SOFTWARE FOR MICROSCOPY<\/a><\/span><\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">11:20 - 11:35<\/td><td colspan=\"5\" class=\"column-2\"><b><i class=\"fas fa-coffee\">&nbsp;&nbsp;<\/i><i>Coffee Break<\/i><\/b><\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">11:35 - 12:25<\/td><td colspan=\"5\" class=\"column-2\"><b>Ran Zalk<\/b>, Ben-Gurion University<br \/>\n<span style=\"color: #da433f; font-weight:bold; font-style:italic;\"><a href=\"#L3\">3D CRYO-EM RECONSTRUCTION FOR BIOLOGICAL (AND OTHER SOFT) MATERIALS<\/a><\/span><\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">12:30 - 13:10<\/td><td colspan=\"5\" class=\"column-2\"><b><i>Lunch<\/i><\/b><\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td colspan=\"4\" class=\"column-1\">AFTERNOON HANDS-ON PARALLEL SESSIONS<\/td><td class=\"column-5\"><\/td><td class=\"column-6\"><\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">Session Chair:<\/td><td class=\"column-2\"><b>Ofra Golani, Ehud Sivan, Dean Ranmar, Reinat Nevo<\/b> \/  Weizmann Institute<\/td><td class=\"column-3\"><\/td><td class=\"column-4\"><b>Sahar Hiram-Bab<\/b> \/ Tel-Aviv University<\/td><td class=\"column-5\"><\/td><td class=\"column-6\"><b>Colin Ophus<\/b> \/ NCEM, Lawrence Berkeley National Laboratory, Berkley, USA<\/td>\n<\/tr>\n<tr class=\"row-11\">\n\t<td class=\"column-1\">13:15 - 17:00<\/td><td class=\"column-2\"><span style=\"color: #da433f; font-weight:bold; font-style:italic;\"><a href=\"#W1\">INCORPORATING MACHINE LEARNING TOOLS INTO IMAGE ANALYSIS WORKFLOWS USING FIJI, ILASTIK AND STARDIST<\/a><\/span><\/td><td class=\"column-3\"><\/td><td class=\"column-4\"><span style=\"color: #da433f; font-weight:bold; font-style:italic;\"><a href=\"#W2\">INTRODUCTION TO DRAGONFLY SOFTWARE<\/a><\/span><\/td><td class=\"column-5\"><\/td><td class=\"column-6\"><span style=\"color: #da433f; font-weight:bold; font-style:italic;\"><a href=\"#W3\">INTRODUCTION TO PHASE CONTRAST IMAGING AND CRYSTAL ORIENTATION MAPPING IN 4D-STEM USING THE OPEN SOURCE PY4DSTEM TOOLKIT<\/a><\/span><\/td>\n<\/tr>\n<tr class=\"row-12\">\n\t<td class=\"column-1\">17:00<\/td><td colspan=\"5\" class=\"column-2\"><b><i>Departure<\/i><\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-9 from cache -->\n<!-- <a href=\"http:\/\/www.ismicroscopy.org.il\/ism2020\/files\/2019\/12\/toppng.com-icture-coming-soon-icon-641x641-1.png\"><img loading=\"lazy\" decoding=\"async\" data-id=\"233\"  src=\"http:\/\/www.ismicroscopy.org.il\/ism2020\/files\/2019\/12\/toppng.com-icture-coming-soon-icon-641x641-1-150x150.png\" alt=\"\" width=\"150\" height=\"150\" class=\"alignleft size-thumbnail wp-image-233\" \/><\/a> --><\/p>\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 18px; color:#D2421B;\">Getting there:<\/td>\n<\/tr>\n<\/table>\n<div class=\"su-row\"><div class=\"su-column su-column-size-1-2\"><div class=\"su-column-inner su-u-clearfix su-u-trim\"><iframe src=\"https:\/\/www.google.com\/maps\/embed?pb=!1m18!1m12!1m3!1d3387.059139929568!2d34.80243981485414!3d31.904990481244106!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!3m3!1m2!1s0x1502b6e2885db8a5%3A0x41b8addd1da33c3b!2sThe%20Robert%20H.%20Smith%20Faculty%20of%20Agriculture%2C%20Food%20and%20Environment!5e0!3m2!1sen!2sil!4v1679154310327!5m2!1sen!2sil\" width=\"600\" height=\"450\" style=\"border:0;\" allowfullscreen=\"\" loading=\"lazy\" referrerpolicy=\"no-referrer-when-downgrade\"><\/iframe><\/div><\/div>\n<div class=\"su-column su-column-size-1-2\"><div class=\"su-column-inner su-u-clearfix su-u-trim\"><a href=\"http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Workshop-Map.pdf\"><img loading=\"lazy\" decoding=\"async\" data-id=\"1037\"  src=\"http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Workshop-Map-1024x768.png\" alt=\"\" width=\"1024\" height=\"768\" class=\"aligncenter size-large wp-image-1037\" srcset=\"http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Workshop-Map-1024x768.png 1024w, http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Workshop-Map-300x225.png 300w, http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Workshop-Map-768x576.png 768w, http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Workshop-Map-1536x1152.png 1536w, http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Workshop-Map-2048x1536.png 2048w, http:\/\/www.ismicroscopy.org.il\/ism2023\/files\/2023\/05\/ISM2023-Workshop-Map-150x113.png 150w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><br \/>\n<\/div><\/div><\/div>\n<p><!-- [row][column size=\"2\/3\"][gmap width=\"800\" language=\"english\" address=\"Materials Engineering, Haifa, Israel\"][\/column]\n[column size=\"1\/3\"]\n\n<p style=\"font-size:16px; font-weight:bold;\">Address:<\/br>Department of Materials Science and Engineering, Technion , Haifa.<\/p>\n\nLink to Waze - <a href=\"https:\/\/waze.com\/ul\/hsvbfmn88y\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" data-id=\"1273\"  src=\"http:\/\/www.ismicroscopy.org.il\/ism2016\/files\/2015\/11\/wazeIcon-150x150.png\" alt=\"wazeIcon\" width=\"50\" height=\"50\" align=\"middle\" class=\"size-thumbnail wp-image-1273\" \/><\/a><\/br>Link to GoogleMaps - <a href=\"https:\/\/goo.gl\/maps\/UWNPhzZRKyEompAU8\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" data-id=\"1282\"  src=\"http:\/\/www.ismicroscopy.org.il\/ism2016\/files\/2015\/11\/googlemaps_icon-150x150.png\" alt=\"googlemaps_icon\" width=\"40\" height=\"40\" align=\"middle\" class=\"size-thumbnail wp-image-1282\" \/><\/a><\/br>\n<strong><u>Getting here by bus<\/u><\/strong>:\n\t\n\n<li>From Hof HaCarmel central bus station and Hof HaCarmel train station take bus #1 or #11.<\/li>\n\n\n\t\n\n<li>From Haifa Merkaz \u2013 Hashmona train station take bus #17.<\/li>\n\n\n<\/br>Get off at the 3rd bus stop after the main gate of the Technion. Cross the road and head to the first building \u2013 De-Jour building.\n<\/br><strong><u>Getting here by cable car<\/u><\/strong>:\n\t\n\n<li>Get off at Lev HaMifratz train station.<\/li>\n\n\n\t\n\n<li>Walk to Merkazit Mifratz Rachbalit station (5 minutes walk).<\/li>\n\n\n<\/br>Get off at the Technion 1st station. Cross the road and head to the first building \u2013 De-Jour building.\n[\/column][\/row] --><br \/>\n<\/br><\/p>\n<div style=\"text-align: justify; line-height: 1.5;\">\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 18px; color:#D2421B;\">Abstracts:<\/td>\n<\/tr>\n<\/table>\n<p><a name=\"L1\"><\/a><\/p>\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 14px; color:blue;\">Lecture 1: INTRODUCTION TO DEEP LEARNING (Ehud Sivan \/ Bioimage Analyst, MICC Cell Observatory, Weizmann Institute of Science)<\/td>\n<\/tr>\n<\/table>\n<p>What is machine learning:<\/p>\n<li>Supervised vs. non-supervised learning<\/li>\n<li>What artificial neural network has to do with neurons<\/li>\n<li>Regression in general and linear regression in particular<\/li>\n<li>Gradient descent algorithm \u2013 finding the minimum of multi-variable function<\/li>\n<li>Training: using Gradient descent algorithm to do Regression:\n<ul>\n<li>Mini batch<\/li>\n<\/li>\n<li>Overfitting and Data augmentation<\/li>\n<li>Transfer learning (standing on the shoulders of giants)<\/li>\n<\/ul>\n<li>From Deep neural networks to Convolutional networks<\/li>\n<li>Classical networks<\/li>\n<p><\/br><\/p>\n<p><a name=\"L2\"><\/a><\/p>\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 14px; color:blue;\">Lecture 2: A HITCHHIKER&#8217;S GUIDE TO THE UNIVERSE OF BIOIMAGE ANALYSIS SOFTWARE FOR MICROSCOPY (Ofra Golani \/ Bioimage Analyst, MICC Cell Observatory, Weizmann Institute of Science)<\/td>\n<\/tr>\n<\/table>\n<p>Life sciences research relies heavily on microcopy imaging coupled with computational methods for visualizing and quantifying information from the imaging data. Many open source and commercial software packages are available and actively developed for these purposes.<br \/>\nAs bioimage analysts in a core facility we provide image analysis support for a wide variety of applications. To scientifically address specific biological problems, one needs to define the set of relevant biological objects and the set of desired measurements. The next step is to define a sequence of required image processing steps, and then select a specific algorithm implementation for each of those steps. Such a sequence of image processing algorithms with a specified parameter set is what we call a \u201cworkflow\u201d. The implementations of the algorithms that are used in the workflows are the \u201ccomponents\u201d constituting that workflow.<br \/>\nComponents are usually available within software packages and libraries which we term &#8220;collections\u201d.<br \/>\nIn this talk we will give a short overview of the current bioimage analysis platforms, tool collections and components that we often use. We will cover components that implement classical algorithms as well as available machine learning and deep learning methods and will give guidance on aspects to consider when choosing the platform and components that best suit the user\u2019s needs.<br \/>\n<\/br><\/p>\n<p><a name=\"L3\"><\/a><\/p>\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 14px; color:blue;\">Lecture 3: 3D CRYO-EM RECONSTRUCTION FOR BIOLOGICAL (AND OTHER SOFT) MATERIALS (Ran Zalk \/ Ben-Gurion University of the Negev)<\/td>\n<\/tr>\n<\/table>\n<p>An introduction to the use of current workflows for cryo-EM structure determination. This tutorial will cover single-particle analysis workflow including: motion-correction, CTF estimation; automated particle picking; 2D classification; initial model generation; 3D classification and 3D refinement. The processing of cryo-EM movies typically requires a simple GPU workstation, we will briefly go over the required specs.<br \/>\n<\/br><\/p>\n<p><a name=\"W1\"><\/a><\/p>\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 14px; color:blue;\">Workshop A: INCORPORATING MACHINE LEARNING TOOLS INTO IMAGE ANALYSIS WORKFLOWS USING FIJI, ILASTIK AND STARDIST (Ofra Golani, Ehud Sivan, Dean Ranmar &#038; Reinat Nevo \/ Bioimage Analyst, MICC Cell Observatory, Weizmann Institute of Science)<\/td>\n<\/tr>\n<\/table>\n<p>A typical image analysis workflow includes segmentation of regions and objects (eg. nuclei or cells), measuring multiple features for objects and regions, and quantifying relations between objects. Fiji is an open-source software platform based on ImageJ and a collection of compatible plugins focusing on general purpose image analysis for life-sciences. It is scriptable and enables fast prototyping of image analysis workflows. Ilastik, StarDist and other Fiji plugins provide an easy way to exploits recent advances in machine-learning and deep-learning based algorithms as handy components for use within image analysis workflows.<br \/>\nIn this hands-on workshop we will introduce you to building image analysis workflows using Fiji, Ilastik and StarDist.<br \/>\nWe will NOT cover the basics of image analysis, and we highly recommend all attendants to go through the following Mooc on Image Processing and Analysis for Life Scientists by EPFL image analysis team, prior to the workshop.<br \/>\nAll attendants are expected to bring their own laptops with proper Fiji and Ilastik<br \/>\ninstallations (instructions will be given in advance, and we will not handle installation during the workshop).<br \/>\n<\/br><\/p>\n<p><a name=\"W2\"><\/a><\/p>\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 14px; color:blue;\">Workshop B: INTRODUCTION TO DRAGONFLY SOFTWARE (Sahar Hiram-Bab \/ Core facility, faculty of Medicine, Tel-Aviv University)<\/td>\n<\/tr>\n<\/table>\n<p>Dragonfly is the ideal framework for integrating data from multiple sources into a single environment, whether your images come from a leading microscope and imaging hardware vendors or RAW files produced by academic software.<br \/>\nIt is a commercial software, however the company provide non-commercial license for academy use. The software provides an extensive set of tools for the multi-dimensional display, transformation, segmentation, registration, and measurement of multi-scale multi-modality image data. Dragonfly delivers qualitative and quantitative results for material characterization, structure properties, surface analysis, process evaluation, quality control testing, or any analysis function that requires a high-degree of accuracy.<br \/>\nImage segmentation and intuitive masking operations in Dragonfly lets you quickly identify and label regions of interest to gain detailed insights into structures and properties. Whether analyzing pores, fibers, grains, phases, or anything else, Dragonfly&#8217;s quantification and analysis tools give you powerful options for counting, measuring, and characterizing image features.<br \/>\nIn this hands-on workshop. We will go over basic tools in Dragonfly for data processing and filtering, data segmentation and quantification of selected ROI.<br \/>\nWe will use two sets of data to demonstrate software capabilities:<br \/>\n1.\tFIB scan of Drosophila sperm storage<br \/>\n2.\tmicroCT scan of pig hyoid bone using bone analysis plugin<br \/>\nAll attendants are expected to bring their own laptops with Dragonfly software:<br \/>\n<a href=\"https:\/\/www.theobjects.com\/dragonfly\/get-non-commercial-licensing-program.html\" rel=\"noopener\" target=\"_blank\">https:\/\/www.theobjects.com\/dragonfly\/get-non-commercial-licensing-program.html<\/a><br \/>\n(Installation instructions will be given in advance, and we will not handle installation during the workshop).<br \/>\n<\/br><\/p>\n<p><a name=\"W3\"><\/a><\/p>\n<table style=\"width: 100%; border-width: 0px; border-bottom: 2px solid #D2421B;\">\n<tr>\n<td style=\"padding:2px 0px; font-weight: bold; font-size: 14px; color:blue;\">Workshop C: INTRODUCTION TO PHASE CONTRAST IMAGING AND CRYSTAL ORIENTATION MAPPING IN 4D-STEM USING THE OPEN SOURCE py4DSTEM TOOLKIT (Colin Ophus \/ NCEM, Lawrence Berkeley National Laboratory, Berkley, USA)<\/td>\n<\/tr>\n<\/table>\n<p>Many materials science studies use scanning transmission electron microscopy (STEM) to characterize atomic-scale structure. Conventional STEM imaging experiments produce only a few intensity values at each probe position. However, modern high-speed detectors allow us to measure a full 2D diffraction pattern, over a grid of 2D probe positions, forming a four dimensional (4D)-STEM dataset. These 4D-STEM datasets record information about the local phase, orientation, deformation, and other parameters, for both crystalline and amorphous materials.  However, these datasets can contain millions of images and therefore require highly automated and robust software codes in order to extract the target properties. In this workshop, I will introduce our open source py4DSTEM analysis toolkit, and teach tutorials for phase contrast imaging and crystal orientation mapping.<br \/>\nSoftware required:<\/p>\n<p>All attendants are expected to bring their own laptops with:<\/p>\n<p>\u2022\tA python and conda installation &#8211;<br \/>\nI recommend Miniconda which is a small and lightweight version of conda: https:\/\/docs.conda.io\/en\/latest\/miniconda.html<br \/>\nAlternatively some users might prefer to install Anaconda: https:\/\/www.anaconda.com\/products\/distribution<\/p>\n<p>\u2022\tCreate a conda environment for py4DSTEM and install it.<br \/>\nInstructions:<br \/>\n1 &#8211; launch the terminal (conda prompt in windows, terminal in OSX or linux)<br \/>\n2 &#8211; run these command lines:<br \/>\n<em>                conda update conda<br \/>\n                conda create -n py4dstem<br \/>\n                conda activate py4dstem<br \/>\n                conda install -c conda-forge py4dstem pymatgen jupyterlab<\/em><br \/>\n3 &#8211; with the py4DSTEM conda environment activated, type:  &#8220;jupyter lab&#8221;<\/p>\n<p>\u2022\tMore information on the installation is given here: https:\/\/github.com\/py4dstem\/py4DSTEM<\/p>\n<p>\u2022\tThe tutorials I plan to run: (depending on time I could cut this down to 1 or expand to more than 2):<br \/>\nhttps:\/\/github.com\/py4dstem\/py4DSTEM_tutorials\/blob\/main\/notebooks\/ptycho02_MoS2.ipynb<br \/>\no\thttps:\/\/github.com\/py4dstem\/py4DSTEM_tutorials\/blob\/main\/notebooks\/orientation_01_AuAgPd_wire.ipynb<br \/>\nAll datasets etc. required are linked in these notebooks.\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Tutorial Workshop:Image Processing In Microscopythe Hebrew University Faculty of Agriculture in Rehovot ROOMS 2023May22 Organizing Committee : Inna Popov &#8211; The Hebrew University of Jerusalem Einat Zelinger &#8211; The Hebrew University of Jerusalem Workshop Program : Getting there: Abstracts: Lecture 1: INTRODUCTION TO DEEP LEARNING (Ehud Sivan \/ Bioimage Analyst,\u2026<\/p>\n<p class=\"continue-reading-button\"> <a class=\"continue-reading-link\" href=\"http:\/\/www.ismicroscopy.org.il\/ism2023\/workshop-program\/\">Continue reading<i class=\"crycon-right-dir\"><\/i><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"folder":[],"class_list":["post-251","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/pages\/251","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/comments?post=251"}],"version-history":[{"count":51,"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/pages\/251\/revisions"}],"predecessor-version":[{"id":1050,"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/pages\/251\/revisions\/1050"}],"wp:attachment":[{"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/media?parent=251"}],"wp:term":[{"taxonomy":"folder","embeddable":true,"href":"http:\/\/www.ismicroscopy.org.il\/ism2023\/wp-json\/wp\/v2\/folder?post=251"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}