
<aside> <img src="/icons/video-camera_green.svg" alt="/icons/video-camera_green.svg" width="40px" /> No lecture!
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<aside> <img src="/icons/slide_yellow.svg" alt="/icons/slide_yellow.svg" width="40px" /> No lecture!
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<aside> <img src="/icons/video-camera_green.svg" alt="/icons/video-camera_green.svg" width="40px" /> Recitation Video will be posted here
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<aside> <img src="/icons/slide_yellow.svg" alt="/icons/slide_yellow.svg" width="40px" /> Recitation Slides: https://docs.google.com/presentation/d/1BDt1BHWNa7s3KH5coSEJfWW6wu1ZIRD4uxe4SwK353o/edit#slide=id.g20fb5ad8e35_1_0
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<aside> <img src="/icons/snippet_blue.svg" alt="/icons/snippet_blue.svg" width="40px" /> Submit your code BEFORE your lab time here: https://docs.google.com/forms/d/1AyZBo6G3XbRdq5Yr_q50Ndw6_6_FQdb8Ee-5NXJk1Ko/viewform?edit_requested=true
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To ensure you're ready for lab time, please follow these steps:
Students from MIT/Harvard and Global Committed Listeners will have their submissions run on available robots during the scheduled lab times!
Once complete, please sign up for a time slot with a robot (MIT/Harvard students should sign up for the robot at MIT during Lab hours), and submit your colab block via this Form. Have this submitted AT LEAST ONE DAY before your robot time slot!
One of the great parts about having an automated robot is being able to precisely mix, deposit, and run reactions without much intervention. This year, a greater emphasis will be placed on utilizing the Opentrons to accelerate your final projects.
For this week, we’d like for you to do the following
While your idea doesn’t need to be set in stone, we would like to see core details of what you would automate. This is due right before class and does not need to be tested on the Opentrons for now.
Example: You are creating a custom fabric, and want to deposit art onto specific parts that need to be intertwined in odd ways. You can design a 3D printed holder to attach this fabric to it, and be able to deposit bio art on top. Check out the Opentrons 3D Printing Directory.
Mona “E.coLisas” by 2023 students Jeremy Wohlwend, Jocelyn Keyser (left) and Rodmehr Basidj (right)