Author
Nate Cira
Cornell UniversityORCID 0000-0002-7818-2962Unclaimed ORCID profile · follow to get notified of new preprints
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Biology Disciplines
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2024-2026 · peak 4/yrCo-Author Collaboration Network
10 top collaborators · 26 mutual co-author links5 papers
Recent·Most cited
- BiophysicsbioRxivPreprintDOI 10.64898/2026.08.13.744445
- MicrobiologybioRxivPreprint
A digital droplet microarray for measuring tolerance to antibiotics
Rena Fukuda, Nadia Nikulin, Shenghao Tan…·Nate Cira
This paper introduces a digital droplet microarray system for high-throughput antibiotic tolerance measurement using SPOTs and Poissonian statistics, demonstrating its application to Klebsiella pneumoniae.
DOI 10.64898/2026.06.04.730180 - MicrobiologybioRxivPreprint
Precise loading of scarce reagents on droplet microarrays
Shenghao Tan, Jon Albo, Nate Cira
This paper introduces a method to precisely load scarce reagents on droplet microarrays, reducing material usage and enabling high-throughput assays with minimal volumes.
1 citation - BioengineeringLab on a ChipPeer-reviewed
EZ-SPOTs: A simple and robust high-throughput liquid handling platform
Jon Albo, Shenghao Tan, Joee D Denis…·N. J. Cira
EZ-SPOTs provides a cost-effective, reusable liquid handling platform for high-throughput experiments, matching gold standard assays in antibiotic susceptibility testing.
3 citations - Systems BiologybioRxivPreprint
Ultra-high-throughput screening of antimicrobial combination therapies using a two-stage transparent machine learning model
Margaret M. Reuter, Katherine L. Lev, Jon Albo…·Sriram Chandrasekaran
This paper introduces M2D2, a two-stage ML model that identifies synergistic antimicrobial drug combinations and validates them experimentally against E. coli.
7 citations