Nigel Forest Reuel

HTFAST enables high-throughput, quantitative affinity measurement of cell-free expressed binders using FRET, validated with nanobodies and SARS-CoV-2 sdAbs.

The paper introduces a non-invasive sensor system for real-time cell quantity monitoring in G-Rex devices used in cell and gene therapy manufacturing.

This paper introduces a cell-free combinatorial mutagenesis workflow using small oligos for high-iteration protein engineering, showing it is scalable and cost-effective.

This paper develops fluorescent single-walled carbon nanotube probes for measuring protease activity in cell-free expression reactions, enabling high-throughput screening and optimization.

The paper develops a method to classify hydrolase functions using structural similarity of reaction cores, identifying enzyme backbones that can support multiple catalytic activities.

This paper evaluates Oxford Nanopore sequencing for quantifying DNA heterogeneity in amplified DNA, finding Q5 and Phusion polymerases have the lowest error rates.

The paper introduces a continuous metabolite monitoring system using SMART vessels to track cell growth and drug responses in real-time.

This paper develops a convolutional neural network to classify and count bacterial sub-populations with high accuracy and consistency.