%0 Generic %1 pandey_open_2021 %A Pandey, Santosh %A Kong, Taejoon %A Backes, Nicholas %A Phillips, Gregory J. %B 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers) %C 10.1109/Transducers50396.2021.9495667 %D 2021 %I IEEE %K Antibiotics, CRISPR, Chemicals, Droplet Microfluidics, Microorganisms, Open Sensors, Transducers, antimicrobial combinatorial design, drug high imaging, medicine microfluidics, myown resistance, throughput, veterinary %P 988--991 %R 10.1109/Transducers50396.2021.9495667 %T Open Droplet Microfluidics for Testing Multi-Drug Resistance and Antibiotic Resilience in Bacteria %U https://ieeexplore.ieee.org/document/9495667/metrics#metrics %V 2021 %X New combinations of existing antibiotics are being investigated to combat bacterial resilience. This requires detection technologies with reasonable cost, accuracy, resolution, and throughput. Here, we present a multi -drug screening platform for bacterial cultures by combining droplet microfluidics, search algorithms, and imaging with a wide field of view. We remotely alter the chemical microenvironment around cells and test 12 combinations of resistant cell types and chemicals. Fluorescence intensity readouts allow us to infer bacterial resistance to specific antibiotics within 8 hours. The platform has potential to detect and identify parameters of bacterial resilience in cell cultures, biofilms, and microbial aggregates.

@conference{pandey_open_2021, abstract = {New combinations of existing antibiotics are being investigated to combat bacterial resilience. This requires detection technologies with reasonable cost, accuracy, resolution, and throughput. Here, we present a multi -drug screening platform for bacterial cultures by combining droplet microfluidics, search algorithms, and imaging with a wide field of view. We remotely alter the chemical microenvironment around cells and test 12 combinations of resistant cell types and chemicals. Fluorescence intensity readouts allow us to infer bacterial resistance to specific antibiotics within 8 hours. The platform has potential to detect and identify parameters of bacterial resilience in cell cultures, biofilms, and microbial aggregates.}, added-at = {2022-07-12T22:46:24.000+0200}, address = {10.1109/Transducers50396.2021.9495667}, author = {Pandey, Santosh and Kong, Taejoon and Backes, Nicholas and Phillips, Gregory J.}, biburl = {https://www.bibsonomy.org/bibtex/24bb1257931d1f5992c52f86d74782a26/spandey50}, booktitle = {21st {International} {Conference} on {Solid}-{State} {Sensors}, {Actuators} and {Microsystems} ({Transducers})}, doi = {10.1109/Transducers50396.2021.9495667}, interhash = {b17292ddd74936670914e91ae8763250}, intrahash = {4bb1257931d1f5992c52f86d74782a26}, keywords = {Antibiotics, CRISPR, Chemicals, Droplet Microfluidics, Microorganisms, Open Sensors, Transducers, antimicrobial combinatorial design, drug high imaging, medicine microfluidics, myown resistance, throughput, veterinary}, month = jun, note = {ISSN: 2167-0021}, pages = {988--991}, publisher = {IEEE}, timestamp = {2022-07-12T22:46:24.000+0200}, title = {Open {Droplet} {Microfluidics} for {Testing} {Multi}-{Drug} {Resistance} and {Antibiotic} {Resilience} in {Bacteria}}, url = {https://ieeexplore.ieee.org/document/9495667/metrics#metrics}, volume = 2021, year = 2021 }