Transforms Organoid Drug Screening Through Quantitative In Vivo Cellular Stress Mapping

Background

Physical forces help shape how cells grow, move, and form tissues. Cells produce and respond to pressure, stretching, and other physical signals. These forces influence how organs develop and how diseases, including cancer, progress. Researchers need to measure these forces to understand how living tissues function and to develop ways to build or repair tissues. Accurate measurements also support computer models that predict how tissues behave.

However, measuring forces inside soft, living tissues remains challenging. Researchers often must balance precision, the size of the area they can study, and the need to avoid disturbing the tissue. Some tools measure forces precisely at individual locations but struggle to map them throughout a 3D tissue. Other methods measure the properties of an entire tissue sample but miss differences amongst clusters of cells. Techniques that use sensors or tiny droplets placed inside tissues can provide local measurements, but they may alter the tissue’s natural behavior. Researchers therefore need tools that can map forces at the cellular level across living tissues while preserving normal growth and movement.

Technology

FORCENET is a microfabricated, implantable device that quantitatively maps mechanical forces within living tissues and soft materials. It consists of a sparse, flexible honeycomb lattice of elastic sensing elements made from a biocompatible polymer containing fluorescent material. Designed to match the flexibility of the surrounding tissue, the mesh can be implanted or embedded, allowing cells to grow through its open structure. Standard three-dimensional optical microscopy tracks the mesh’s deformation over time. These measurements are then used to calculate stress and force distributions at cellular resolution across tissue regions spanning hundreds of micrometers.

Biologists and researchers no longer need accept the trade-offs among spatial coverage, invasiveness, and measurement accuracy associated with traditional techniques. Its sparse, flexible design provides measurements across larger tissue regions while minimizing disruption to the surrounding tissue. By mapping local variations in mechanical stress over time, FORCENET can reveal subtle changes in tissue mechanics, including responses to altered cellular signaling, that conventional structural imaging may miss. These capabilities offer a minimally invasive approach to studying tissue mechanics, with potential applications in developmental biology, tissue engineering, and drug discovery.

Benefits

• Enables quantitative mapping of mechanical forces at cellular resolution across entire tissue scales
• Minimizes physical perturbation and tissue damage through a sparse, flexible, and biocompatible network design
• Integrates seamlessly into living tissues without disrupting normal cell migration, division, or embryonic development
• Utilizes standard optical microscopy workflows, eliminating the need for specialized force-measurement hardware
• Overcomes traditional trade-offs between spatial coverage, invasiveness, and quantitative accuracy in mechanobiology
• Adapts easily to diverse tissue types and force regimes through customizable lattice geometries and material stiffness
• Detects subtle mechanical phenotypes and dynamic stress fields that are invisible to conventional structural imaging

Applications

• Engineered tissue quality control
• Preclinical drug efficacy screening
• Organoid mechanical maturation monitoring
• Ex vivo biopsy diagnostics
• Cancer invasion disease modeling

Additional info

FORCENET is an implantable platform comprising a photolithographically patterned, flexible SU-8 polymer honeycomb lattice. Implanted into living tissues, the elastic network deforms under endogenous cellular forces. Time-lapse 3D optical microscopy tracks network node displacements, which an automated computational pipeline and inverse finite element modeling convert into quantitative, high-resolution maps of mechanical stress, strain, and force distributions across tissue scales.