<?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/ee6dc801175041e0887daa145c260bfd&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ee6dc801175041e0887daa145c260bfd-724aa87db0ca0ad2.gif</thumbnail_url><duration>582.692</duration><title>Introducing curve fitting in Synthace</title><description>In this tutorial, I’m excited to introduce some new functionality within the Synthase platform that allows us to perform curve fitting directly. We’ll be focusing on an enzymatic assay with a DOE design, testing two enzyme types across various factors like salt concentration, pH, and temperature, with nine levels of substrate concentration. I’ll guide you through reshaping our data and applying a four-parameter logistic fit to analyze our 36 unique runs. Please check out the linked video for more detailed changes to the Reshape and Calculate Steps functions. I encourage you to follow along and experiment with these new features for your data analysis.</description></oembed>