University of Virginia-Main Campus · EngineeringThe Cell Dynamics Lab
Nathan Swami · Charlottesville, Virginia
Research Focus
Dr. Nathan Swami's lab focuses on creating advanced technologies to study and sort cells based on their physical properties without using labels. They are developing a system that uses neural networks and impedance measurements to quickly identify and separate different types of cells by monitoring their responses to force and other environmental changes. This innovative approach aims to enhance our understanding of cell behavior in various conditions, which can have significant implications in fields like cancer research and immunology.
cell sortingimpedance measurementneural networksbiophysical propertiessingle-cell analysislabel-free techniquescell phenotypeflow cytometrymolecular profiling
Research Aims
5AIM 01Develop tools for real-time single-cell recognition and sorting.
AIM 02Utilize impedance metrics to analyze cell deformability and viability.
AIM 03Integrate neural networks for improved accuracy in cell shape identification.
AIM 04Optimize parameters for cell sorting in heterogeneous sample conditions.
AIM 05Facilitate label-free molecular profiling of dynamic cell populations.
Skills the Lab Values
microfluidicsneural network implementationimpedance spectroscopycell cultureimage cytometrydata analysis in Pythonhigh-throughput screeningsorting algorithmscell morphology assessment
Output against the department
Publications162bottom 41% of dept.164th of 278
this lab
most publishedleast published
Citations4.4kbottom 34% of dept.184th of 278
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.