<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/e1258c2ac0a14b8488152445869610da&quot; frameborder=&quot;0&quot; width=&quot;1428&quot; height=&quot;1071&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1071</height><width>1428</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1071</thumbnail_height><thumbnail_width>1428</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e1258c2ac0a14b8488152445869610da-c985cc684a39f467.gif</thumbnail_url><duration>181.1235</duration><title>Noscope demo</title><description>In this video, I walk you through how to use our AI-powered application, No Scope, to analyze sound microscopy images from your cell culture experiments. I demonstrate how to create and access a 96 well plate, upload microscopy images, and analyze them to obtain crucial metrics like cell count and confluency. For example, we calculated an average cell count of about 1,800 across multiple images. Additionally, I show how to add compounds to wells and visualize the relationship between compound concentration and cell metrics. I encourage you to explore these features and start analyzing your own data.</description></oembed>