Here's a challenge that was proposed asked by a scientist.
You have 2 liquid handlers and this is the setup:
Iggy = {8-Channel Arm, Robot Arm Plate Gripper, Barcode Scanner, 20 Deck Positions}
Ziggy = {96-Channel Arm, Robot Arm Plate Gripper, Barcode Scanner, 20 Deck Positions}
You also have access to labware:
Plates = {360uL Microtiter Plate V-Bottom, 300mL SBS Reservoir}
Tips = {~50uL Tips, ~300uL, ~1000uL}
And there are two tasks:
Task 1 : From an arbitrary single column on 1-3 source plates aliquot 8uL to all the wells of a single destination plate. If there was only one source plate and one destination plate then this would replicate an arbitrary column of the source place 12 times across the destination plate. When there are multiple source columns Alice always mixes at the end.
Task 2 : Aspirate a volume from (8uL - 300uL) from a large basin and dispense it into all wells of 1-5 destination plates. All destination plates will have the same added volume at the end. Sometimes the destination plates have sample in them and sometimes the plates are empty. When they have sample Bob sometimes wants to mix.
And here's the problem:
Write one program that can perform the tasks for Alice and Bob and be run on both devices. (This may not be possible on one type of device due to the heavily restrictive programming environment, however you could write your own installer to get around this issue…)
You are only allowed one UI screen with at most 3 inputs - if you can use less cheers to you!
UI Inputs = {file_path :: String, continue_button :: bool, abort_button ::bool}
You are also allowed one or more confirmation screens for deck loading.
This video shows how a scientist using Synthace tackles this problem.
Using Synthace a scientist builds a workflow to dispense liquids from a column to a 96 well plate, and then mixes another liquid on top of it. At the same time the scientist wants to distribute buffer across multiple plates for the next experiment downstream.
First a simulation for the Tecan is shown. The scientist then decides to run it on a Hamilton. With no change to the workflow at all, the scientist picks the Hamilton from the list of devices and re-simulates the experiment.
The same step by step experiment is represented now on a Hamilton.
On top of that the scientist shows that irrespective of constraints such as tip supply issues, Synthace can still use what the user has told it to build a new workflow to be executed on a device with no programming knowledge. But also as a bonus, Synthace captures errors and stops a scientists from entering the lab and wasting the precious consumables.
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#lifesciences #doe #designofexperiments #digitalexperiments
1 июн 2023
