Characterisation of cell motility through a bioimage analysis perspective
DIPC Seminars
- Speaker
-
Estibaliz Gomez de Mariscal, Instituto Gulbenkian de Ciencia
- When
-
2022/12/22
13:00 - Place
- Hybrid Seminar: Donostia International Physics Center
- Add to calendar
-
iCal
In the tumour Extracellular Matrix (ECM) stroma, cancer cells follow a 3D
mesenchymal migration mode driven by cellular dendritic protrusions. Together
with cellular adhesions to the 3D ECM, cells use elongated protrusions to
exert forces and make contractile displacements. Therefore, it is possible to
detect varying mechanical patterns closely related to the invasive behaviour
of the cells.
To study the relationship between cell motility and the morphology and
dynamics of cell protrusions we acquired long (~16 h) phase contrast
microscopy time-lapse videos of cells embedded in 3D collagen type I matrices
are acquired. Label-free microscopy supports a more sample- friendly
acquisition at the expense of reduced image quality: high presence of
artefacts, low signal-to-noise ratio, and a weak contrast between the cell
membrane and the collagen matrix. Thus, we propose an advanced image
processing pipeline based on deep learning to automatically segment cells,
quantify their protrusions and track both over time. We use recurrent units
and pre-trained encoders to improve the time consistency of the results.
Automatic image-processing pipelines support the extraction of a large sets of
data that can be hardly analysed with the classical statistical null
hypothesis test (NHT) approaches, as the p-value depends on the sample size.
We conceive a new mathematical method that exploits the relationship between
the sample size and the p-value to characterise the differences among the
compared groups of data.
The proposed analytical pipelines supported the characterisation of cell
motility and cellular protrusions dynamics, establishing a starting point to
discover new hallmarks for enhanced cell migration and formulate new
hypotheses on cell morpho-dynamics.
Host: Ignacio Arganda Carreras
Zoom: https://dipc-org.zoom.us/j/96315380618
Youtube: https://youtu.be/hCm2YVyTr0A