Resources

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Automating RNA Library Prep for High-Throughput Genomics: AstraZeneca Case Study

In this session, Sara Talbot, Senior Research Scientist at AstraZeneca, shares her experience using the NEBNext UltraExpress RNA Library Prep Kit in combination with our firefly platform to prepare 96 RNA-seq libraries in a single day. This powerful integration of reagents and automation not only streamlined the library preparation process but also significantly reduced time at the bench and improved reproducibility across samples.

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Optimizing NGS library prep in the Core lab

As sequencing costs continue to decrease, sample and library preparation have emerged as the critical bottleneck in modern genomics workflows. Core facilities face mounting pressure to process thousands of samples with accuracy and precision while maintaining competitive pricing and rapid turnaround times. In this session, you'll hear from Taylor Fennelly, a researcher at the Biopolymers Facility (BPF) at Harvard Medical School, who will share their success story implementing SPT Labtech’s firefly for high-throughput, high-quality library generation. Our very own firefly product manager, Denise Grovewood will demonstrate how this compact, all-in-one automated liquid handling solution is specifically designed to overcome the bottlenecks faced by sequencing cores.

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Generating Bespoke Datasets for Foundation Models in AI Drug Discovery

The application of AI in drug discovery relies on high-quality, reproducible training datasets. Traditional screening campaigns focus on identifying potent hits, but ML-driven drug discovery requires comprehensive potency evaluation across entire compound libraries. Here, we introduce a partial concentration-response curve (pCRC) approach that estimates potency using just two data points per compound. We onboarded a panel of 65 diverse kinases and screened 7000 compounds against the panel at ATP concentrations near Kₘ to minimize modality bias, achieving a mean robust Z’ of 0.74 across all targets. A direct comparison of 100 fragments tested in both 2-point pCRC and conventional 11-point CRC formats demonstrated excellent correlation, confirming that our pCRC methodology produces high-quality data suitable for ML model training. The integration of our automation platform, including SPT Labtech’s dragonfly® discovery, with automated data pipelines enabled the generation of 221,000 high-quality ML-ready data points per day, accelerating the development of foundation model training for drug discovery.

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Webinar recording: Automated sample management for more efficient drug discovery: Developing and embedding in-house sample management at Artios

In this webinar, learn how the team at Artios Pharma have developed and implemented automated end-to-end workflows for sample storage and tracking, processing, assay-ready plate generation and sample mapping for analysis, using Titian Sample Bank software and SPT Labtech automation systems. Using this compound management workflow, they have demonstrated up to a 40% reduction in data posting cycle times and decreased running costs, as well as using the system for clinical sample supply and tracking, all of which results in quicker data reporting to drive decision making and more effective use of resources.

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Efficient Long-Read Genome Library Prep in the Wellcome Sanger Institute’s Darwin Tree of Life Project

Presenting the successful automation of a long-read whole genome library preparation using the PacBio SMRTbell long-read prep kit 3.0 (SPK3) on SPT Labtech's firefly liquid handling platform.

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Automating antibiotic discovery in academia: A collaborative screening effort to identify novel TB therapeutics

In this webinar, hear how a collaboration between SPT Labtech, Automata, GSK, and researchers at the Francis Crick Institute, employed cutting-edge automation tools, including the dragonfly® discovery liquid handling system by SPT Labtech and Automata’s LINQ platform, to conduct a high-throughput enzymatic screen targeting a vulnerable pathway in Mycobacterium tuberculosis (Mtb).

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Webinar
Advancing in vitro high-throughput transcriptomics for chemical toxicity testing | SPT Labtech

Hear from researchers from McGill University, as they present case studies in optimizing and advancing efficient workflows that couple in vitro exposures with ultraplexed library preparation using the QIAseq UPXome RNA Library Kit. This approach has increased the throughput of differential expression and dose-response analysis for tPODs derivation.

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Optimizing Stem Cell Media for Cultivated Meat Production

In this webinar, Alex Rimmer, Samuel East, and Catriona Jamieson discuss how they used automation and Design of Experiments (DoE) approaches to drive the development of low-cost, animal-free media, and optimize cost-effective RNA delivery.

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Webinar: Automating a Novel Approach to Enzymatic Gene Synthesis

In this webinar, Marcella Ferrero, automation scientist at Camena, discussed the approach of developing a novel approach to DNA synthesis, which combines TdT-free enzyme-based technology with strategic use of automated liquid handling and how it can enable the next generation of therapeutics while minimizing the environmental impact of vital research.

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Webinar: Ultra-high throughput experimentation in medicinal chemistry

Join Tim Cernak, Associate Professor at the University of Michigan, and Kamila Koprowska, mosquito® Product Manager at SPT Labtech, as they explore how positive displacement technology and low-volume liquid handling drive scale and throughput in medicinal chemistry.

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Webinar
Driving Throughput in tRNA Sequencing Library Generation With Automated Liquid Handling - Webinar

In this webinar, Russel Vincent of the Church Lab and Biopolymers Genomics Core Facility (BPF) at Harvard Medical School will describe how he and colleagues streamlined library generation for tRNA sequencing using SPT Labtech’s Firefly all-in-one automated liquid handling platform.

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Optimizing multi-cellular models for high-throughput screening - Webinar

Join us as we dive into recent research which has combined Design of Experiments methodology with automated liquid handling to develop a cardiotoxicity assay platform. We discuss how this approach could become routine in the future, not only offering more accurate predictability of new drug candidates, but also enabling researchers to leverage resources more efficiently through streamlined workflows and data-driven decision-making.

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