| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Landini, Gabriel
University of Birmingham
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (15/15 displayed)
- 2023Multi-resolution Correlative Ultrastructural and Chemical Analysis of Carious Enamel by Scanning Microscopy and Tomographic Imagingcitations
- 2018Automated non-invasive cell counting in phase contrast microscopy with automated image analysis parameter selectioncitations
- 2018Structure-function correlative microscopy of peritubular and intertubular dentinecitations
- 2017Model-based Correction of Segmentation Errors in Digitised Histological Imagescitations
- 2016Understanding nature’s residual strain engineering at the human dentine-enamel junction interfacecitations
- 2015Automated optimisation of cell segmentation parameters in phase contrast using discrete mereotopology
- 2014Structure-mechanical function relations at nano-scale in heat-affected human dental tissuecitations
- 2014Hierarchical modelling of in situ elastic deformation of human enamel based on photoelastic and diffraction analysis of stresses and strainscitations
- 2014Semi-automated cell counting in phase contrast images of epithelial monolayers
- 2014Nano-scale thermo-mechanical structure-property relationships in human dental tissues studied by nanoindentation and synchrotron X-ray scatteringcitations
- 2013Hierarchical modelling of elastic behaviour of human enamel based on synchrotron diffraction characterisationcitations
- 2013Multiscale modelling and diffraction-based characterization of elastic behaviour of human dentinecitations
- 2009Ultrasonic Scaler Oscillations and Tooth-surface Defectscitations
- 2007Influence of compressive and deflective force on powered toothbrush filaments
- 2001The influence of mixing ratio on the toughening mechanisms of a hand-mixed zinc phosphate dental cementcitations
Places of action
| Organizations | Location | People |
|---|
document
Semi-automated cell counting in phase contrast images of epithelial monolayers
Abstract
Non-destructive, quantitative evaluation of cell numbers in epithelial monolayers is necessary to monitor their proliferative rate in a single culture over a time period. Imaging using phase contrast microscopy is non-invasive and creates contrast in optically transparent cells; however intrinsic image artefacts mean that thresholding-based segmentation methods alone are insufficient to identify cells. The method described uses mathematical morphology to assign contrast to cells in a way that enables approximate segmentation by applying a threshold value. Kmeans clustering is subsequently applied to improve enumeration accuracy by removing segmentation artefacts. Cell numbers in images over multiple time-points may then be used to non-destructively generate growth curves. To validate this method we demonstrate a dose dependent relationship between H400 keratinocyte proliferation and concentration of foetal calf serum.