Radial profile detection of multiple spherical particles in contact with interacting surfaces.
Johannes WaschkeTilo PompeDavid RettkeStephan SchmidtMario HlawitschkaPublished in: PloS one (2019)
Adhesive interactions of soft materials play an important role in nature and technology. Interaction energies can be quantified by determining contact areas of deformable microparticles with the help of reflection interference contrast microscopy (RICM). For high throughput screening of adhesive interactions, a method to automatically evaluate large amounts of interacting microparticles was developed. An image is taken which contains circular interference patterns with visual characteristics that depend on the probe's shape due to its surface interaction. We propose to automatically detect radial profiles in images, and to measure the contact radius and size of the spherical probe, allowing the determination of particle-surface interaction energy in a simple and fast imaging and image analysis setup. To achieve this, we analyze the image gradient and we perform template matching that utilizes the physical foundations of reflection interference contrast microscopy.
Keyphrases
- high resolution
- deep learning
- single molecule
- optical coherence tomography
- label free
- magnetic resonance
- living cells
- high throughput
- high speed
- quantum dots
- molecularly imprinted
- physical activity
- protein kinase
- ultrasound guided
- contrast enhanced
- magnetic resonance imaging
- convolutional neural network
- density functional theory
- computed tomography
- escherichia coli
- solid phase extraction
- real time pcr
- cystic fibrosis
- staphylococcus aureus
- loop mediated isothermal amplification
- pseudomonas aeruginosa
- single cell
- molecular dynamics