PROBING INTRACELLULAR ELASTICITY WITH MINIMAL-HESSIAN REGISTRATION
We propose an image-based elastography method to measure the heterogeneous stiffness inside a cell and its nucleus. It uses a widely accessible setup consisting of plate compression imaged with fluorescence microscopy. Our framework recovers a spatial map of Young's modulus from images of the intracellular displacements. These displacements are measured with a novel optical-flow technique characterised by a Hessian-Schatten norm regularizer. The aim is to favor piecewise-linear displacements because they reproduce solutions to linear elasticity problems well when the underlying modulus is piecewise-constant, as is often the case in cells. Our computational approach is fast enough for long time-lapse acquisitions and 3D imaging. It is able to cope with two common pitfalls of biological elastography: high compressibility and small compressions to avoid damage. We show our method is faster and more accurate than the state-of-the-art.
WOS:001062050500072
2023-01-01
978-1-6654-7358-3
New York
REVIEWED
Event name | Event place | Event date |
Cartagena, COLOMBIA | APR 18-21, 2023 | |
Funder | Grant Number |
TOXONUC project | ANR-19-CE13-0034-02 |
Labex IBEID | ANR-10-LABX-62-IBEID |
France-BioImaging infrastructure | ANR-10-INBS-04 |