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Point estimate and 95% JCIs for reactivity ratios of six different monomer pairs studied using the HTP <t>automated</t> <t>OT-2</t> platform in this work: (a) BMA, BA; (b) BMA, St; (c) St, BA; (d) St, MMA; (e) GMA, BA; (f) GMA, St.
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Point estimate and 95% JCIs for reactivity ratios of six different monomer pairs studied using the HTP <t>automated</t> <t>OT-2</t> platform in this work: (a) BMA, BA; (b) BMA, St; (c) St, BA; (d) St, MMA; (e) GMA, BA; (f) GMA, St.
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Overview of the integrated computer vision and robotics pipeline for automated landmark-based root inoculation. Arabidopsis seedlings grown on agar plates are imaged using the HADES platform. The computer vision pipeline performs root segmentation, skeletonization, and landmark extraction (primary root tip and junction). Image coordinates are transformed via an affine transformation to the <t>Opentrons</t> <t>OT-2</t> robot workspace for targeted liquid delivery.
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Point estimate and 95% JCIs for reactivity ratios of six different monomer pairs studied using the HTP automated OT-2 platform in this work: (a) BMA, BA; (b) BMA, St; (c) St, BA; (d) St, MMA; (e) GMA, BA; (f) GMA, St.

Journal: Chemical Science

Article Title: A robotic approach to polymerisation kinetics: a case study on copolymerisation parameter estimation

doi: 10.1039/d6sc02232d

Figure Lengend Snippet: Point estimate and 95% JCIs for reactivity ratios of six different monomer pairs studied using the HTP automated OT-2 platform in this work: (a) BMA, BA; (b) BMA, St; (c) St, BA; (d) St, MMA; (e) GMA, BA; (f) GMA, St.

Article Snippet: The Opentrons OT-2 liquid handling robot is another emerging platform that offers flexibility and open-source code, and has already been used for the automated synthesis of libraries of complex multiblock copolymers, as well as libraries of block-copolymer-based hydrogels for biomedical applications.

Techniques:

Overview of the integrated computer vision and robotics pipeline for automated landmark-based root inoculation. Arabidopsis seedlings grown on agar plates are imaged using the HADES platform. The computer vision pipeline performs root segmentation, skeletonization, and landmark extraction (primary root tip and junction). Image coordinates are transformed via an affine transformation to the Opentrons OT-2 robot workspace for targeted liquid delivery.

Journal: bioRxiv

Article Title: Automated Landmark-Based Root Inoculation in Arabidopsis Using Computer Vision and Robotics

doi: 10.64898/2026.03.27.714898

Figure Lengend Snippet: Overview of the integrated computer vision and robotics pipeline for automated landmark-based root inoculation. Arabidopsis seedlings grown on agar plates are imaged using the HADES platform. The computer vision pipeline performs root segmentation, skeletonization, and landmark extraction (primary root tip and junction). Image coordinates are transformed via an affine transformation to the Opentrons OT-2 robot workspace for targeted liquid delivery.

Article Snippet: The transformed coordinates were subsequently used to guide a sterile Opentrons OT-2 liquid handling unit for targeted inoculation.

Techniques: Extraction, Transformation Assay