Paper Number
        BL31                         My Program 
        
        
    
    
        Session
        Biomaterials, Bio-fluid Dynamics and Biorheology
    
        Title
        Spatiotemporally-resolved differential dynamic microscopy reveals strain-induced deformation fields in cytoskeleton composites
    
        Presentation Date and Time
        October 21, 2025 (Tuesday) 2:50
    
        Track / Room
        Track 6 / Sweeney Ballroom C
    
        Authors 
        - Razzaghi, Aysan (University of San Diego, Physics and Biophysics)
 - Valentine, Megan T. (university of California Santa Barbara, Mechanical Engineering)
 - McGorty, Ryan J. (University of San Diego, Physics and Biophysics)
 - Robertson-Anderson, Rae M. (University of San Diego, Physics and Biophysics)
 
    
        Author and Affiliation Lines 
        Aysan Razzaghi1, Megan T. Valentine2, Ryan J. McGorty3 and Rae M. Robertson-Anderson4
1Physics and Biophysics, University of San Diego, San Diego, CA 92108; 2Mechanical Engineering, university of California Santa Barbara, Santa Barbara, CA 93106; 3Physics and Biophysics, University of San Diego, San Diego, CA 92110; 4Physics and Biophysics, University of San Diego, San Diego, CA 92110
    
        Speaker / Presenter 
            
        Razzaghi, Aysan
    
        Keywords
        biomaterials; methods; microscopy
    
        Text of Abstract 
        
        Active Cytoskeleton Composites (ACCs) are highly heterogeneous and noisy in structure, which leads to exhibition of complex responses to applied hydrodynamic forces. Characterizing such system requires highly resolved experimental and analysis method, both in space and time. We developed a unique method to unveil the highly complex dynamics of heterogeneous cytoskeleton composites undergoing shear stress, at scales comparable to that of composites mesh size. Using time-resolved differential dynamic microscopy (DDM) we achieve high resolution to study spatiotemporal shear propagation in kinesin-driven actin–microtubule composites. Alignment factor, degree of network alignment with the shear direction, exhibits a waveform pattern that varies with shear rate, motor protein concentration, and distance from the shear center. The amplitude of this waveform increases with motor protein concentration and spatially decays according to a power law.