
Membrane trafficking
Quantitative studies of clathrin-mediated endocytosis and intracellular dynamics.
Welcome to the Intracellular Dynamics Laboratory at The Ohio State University.
Cells are not passive-they constantly feel their surroundings, push and pull on their membranes, and bring in nutrients, signals, and other materials from the outside. We study how these processes work and how they are controlled inside living cells.
To do this, we build new microscopes and analysis tools that let us watch these events unfold in real time. By understanding how cells move, reshape their membranes, and internalize material, we aim to uncover general principles of cell behavior.
By uncovering these mechanisms, we aim to identify new ways to influence cell behavior in disease, including approaches that target how cells respond to their environment.
Interested in our work! We are always looking for highly motivated postdoctoral scholars, graduate students, and undergraduate students with interests in cell biology, physics, or imaging to join our group.
Selected visual highlights from the lab's work in endocytosis, mechanobiology, and imaging innovation.

Quantitative studies of clathrin-mediated endocytosis and intracellular dynamics.

How cell mechanics influence signaling, apoptosis, and cancer-related phenotypes.

Instrumentation and computational methods for super-resolution and live-cell imaging.

Studying how coated pits and plaques form, curve, and internalize.

Image analysis pipelines that reveal dynamic intracellular organization.
An interdisciplinary group at the interface of physics and cell biology.

B.Sc. Bilkent University, Physics, 2002
Ph.D. University of Illinois at Urbana-Champaign, Biophysics and Computational Biology, 2007
Postdoctoral Training: Harvard Medical School, Immune Disease Institute, 2008-2012








Our lab develops and applies advanced fluorescence microscopy approaches to study intracellular dynamics with high spatial and temporal resolution. A central goal is to push beyond the diffraction limit while still imaging living cells under physiologically relevant conditions.
We use techniques such as TIRF microscopy, structured illumination microscopy (SIM), and variable-angle illumination to selectively visualize membrane-proximal processes like clathrin-mediated endocytosis. These approaches allow us to resolve nanoscale organization and quantify protein recruitment, assembly kinetics, and structural transitions in real time.
In parallel, we develop computational imaging methods that incorporate deep learning, temporal information, and three-dimensional data to extract super-resolution information from live-cell datasets. This enables us to infer dynamic nanoscale features from limited or noisy data, bridging the gap between high-resolution imaging and fast cellular dynamics.
More recently, we are incorporating machine learning and deep learning methods to analyze high-dimensional imaging datasets. These approaches enable automated feature extraction, prediction of dynamic behaviors from single snapshots, and identification of hidden patterns that are not accessible through traditional analysis.
By integrating optical instrumentation, quantitative analysis, and machine learning, we aim to uncover how molecular-scale events give rise to emergent cellular behaviors in space and time.
Our lab develops quantitative and computational approaches to extract mechanistic insight from complex live-cell imaging data. Because intracellular processes are highly dynamic and heterogeneous, a major focus is on building analysis frameworks that move beyond descriptive imaging toward rigorous, quantitative inference.
We design algorithms to track and analyze large populations of dynamic structures, such as clathrin-coated pits, across space and time. These include particle detection and tracking methods, intensity-based growth-rate analysis, and classification of trajectories into distinct dynamical subpopulations. This allows us to quantify variability in assembly, maturation, and internalization across different cellular conditions.

Our lab explores how cellular mechanics and membrane trafficking can be leveraged to improve therapeutic outcomes, particularly in cancer. A central idea is that the physical state of a cell-its stiffness, membrane tension, and trafficking activity-can directly influence how it responds to external signals, including those from the immune system.
We have shown that perturbing endocytic pathways can sensitize cancer cells to apoptosis by altering receptor availability at the cell surface. By modulating clathrin-mediated endocytosis and related trafficking processes, it is possible to enhance the effectiveness of immune-mediated killing and other therapeutic interventions.
Building on this, we investigate small molecules that act as "mechanosensitizers," shifting the physical and trafficking properties of tumor cells to make them more vulnerable. This includes repurposing clinically relevant compounds that affect cytoskeletal dynamics, membrane tension, or signaling pathways linked to endocytosis.
Our approach integrates biophysics, live-cell imaging, and translational research to identify strategies that complement existing therapies such as immunotherapy. The long-term goal is to develop new treatment paradigms where tuning the mechanical and trafficking state of cells enhances therapeutic efficacy while maintaining safety.

TraCKer is a simple but fast two-dimensional particle tracking program. It uses a threshold determined over a Mexican hat filtered image for detection of fluorescent spots. Detected maxima are then connected in time by linking mutually nearest neighbors.
The required input is the path to the desired movie as a two-dimensional multipage TIFF. The output is saved as a MAT file containing tracked positions and intensities.

Slope Finder determines clathrin coat growth-rate distributions from intensity traces. It takes the TraCKer intensity output, the movie frame rate, and a global background value for the movie corresponding to a signal with SNR = 1.
The output is a cell array of normalized slope values. Since endpoints are padded with zeros, those zeros should be excluded when forming a proper slope histogram.
createTraceLibrary groups clathrin coat intensity traces into clusters that share similar trace lengths and intensity profiles. Similarity is judged using trace_dist, which generates a distance metric between traces.
Each cluster has an average intensity trace and an associated growth-rate histogram. The cluster can then serve as a library for future comparisons using libraryLookup.

Valeria Arteaga-Muniz received the Molecular Biophysics Training Program best oral presentation award. Congratulations Valeria.

Emily Chan received the Biophysics Graduate Program best oral presentation award. Congratulations Emily.

Approaching Maximum Resolution in Structured Illumination Microscopy Via Accurate Noise Modeling is now accepted for publication by NPJ Imaging.

Mechano-inhibition of Endocytosis Sensitizes Cancer Cells to Fas-induced Apoptosis is now accepted for publication in Cell Death and Disease.

Targeting endocytosis to sensitize cancer cells to programmed cell death is now accepted for publication in Biochemical Society Transactions.

Umida Djakbarova has been awarded a Pelotonia Scholars Symposium Award. Congratulations Umida.

Cris Thompson has been awarded a National Society of Black Physicists (NSBP) best poster award. Congratulations Cris.

Emily Chan has been awarded a Biophysical Society Travel Award. Congratulations Emily.

We have raised $1,900 for Pelotonia. Good job team.

Endocytosis at Extremes: Formation and Internalization of Giant Clathrin-coated Pits Under Elevated Membrane Tension is now accepted for publication by Frontiers Molecular Biosciences.

Our Dual-view Inverted Selective Plane Illumination Microscope (diSPIM) is up and running.

Emily Chan has been awarded a Pelotonia Doctoral Fellowship. Congratulations Emily.
We are interested in hiring postdoctoral scholars, graduate students, and undergraduate students.
To apply, email Comert with your CV and a short note about your interests.
Physics Research Building, 191 W Woodruff Ave, Columbus, OH 43210