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Labscape

Labscape aims to simplify lab work by ensuring information is available where and when it is needed, and by collecting and organizing data into a formal representation. It addresses sub-problems such as information availability, formal representation needs, collaborative work, instrumentation, and cognitive overhead. Labscape is designed for labs with heterogeneous devices, large-scale environments, and compatibility with similar labs. Challenges in collaborative work, recognizing experiment progress, and dynamic workflows are addressed. Integration of recognition technology, sensors, and user experience improvements are discussed.

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Labscape

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  1. Labscape Goal: Simplify lab work by making information availablewhere it is needed and by collecting and organizing data when it is created into a formal representation that others understand and process

  2. Sub problems • Where/When should information be available? • Where/when information is created? • Need of formal representation • Collaborative work

  3. Characteristics • Instrumentation • Materials (cells, tubes, other disposable materials) come and go. • Large number of heterogeneous devices, traditional computers. • Large scale environment • Labscape should be compatible with other similar type of labs.

  4. Cognitive overhead • Error correction and detection should be avoided. • Lab workers do not desire additional responsibility to work in an instrumented environment. • Ambiguous interface is not desirable.

  5. Collaborative work • More than one person work on the same protocol at the same time. • Who’s going to work on what can only be completely determined while they perform an experiment.

  6. Challenges in recognizing progress of experiment. • It requires high precision technology to detect which sample in a batch a user is working on. • Samples involved in different steps looks identical. • Repetition of the similar operations challenges distinguishing the state of each sample.

  7. Dynamic work flow • Constraining users is not recommended. - They tend to reorder / add/ delete steps.

  8. Experience • UI precedes AI • Abstract operations and formal representation. • Remaining problems. • Integrating recognition technology. • Integrating sensors to current environment.

  9. Discussion Recognition rich environment? • Predict user’s location. • Associate a user with steps. • (user, device, step) • Touching/ Vision • Number of pipette tips thrown away • Disambiguate state of each samples. • Tracking materials

  10. Combine input: X (dispensed material) Y (base material) output:combined material Z Combine input: X (dispensed material) output: combined material Z Get the container W Z:Dispense X to Y Open the lid of W Close the lid of W Throw away pipette tips Z:Dispense X to W Throw away pipette tips

  11. Dispense input: X output: aspirated material W Open the lid of X adjust pipepetter volume Z Get the pipette tips W:aspirate from X with volume Z Close the lid of X

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