Phasefocus is the proud recipient of a 2017 Microscopy Today Innovation Award for its Livecyte® Kinetic Cytometer system. The award was presented to Dr Martin Humphry, CEO, at the Microscopy and Microanalysis 2017 meeting in St. Louis, Missouri on Wednesday 9th August, 2017. These prestigious awards recognise the top ten innovations which advance microscopy and…
Livecyte enables quantitative label-free live cell analysis and kinetic cytometry. Robust automatic tracking and behavioural analysis of hundreds of individual cells within heterogeneous cell populations is now possible without the need for intrusive dyes or labels. Unique morphological, temporal, and dynamic phenotypic data make it simple to gain new biological insights and accelerate your research.
Professor Maitland of the University of York, speaks about how the Phasefocus technology enables his group to examine heterogeneous prostate cancer cell types and monitor their resistance to chemotherapy.
Differences in dynamic and morphological phenotypic characteristics enabled by label free individual cell analysis
A case study to demonstrate how analysis of a population to an individual cell level can reveal subtle differences in cell behaviour that would be unresolved by a population averaged approach.
Characterisation of sub-populations of heterogeneous patient-derived primary prostate epithelial cell cultures
Analyse and extract morphological and dynamic phenotypes to identify heterogeneity within mixed cancer cell populations.
Produce a Staurosporine dose response curve without use of fluorescent labels.
New Paper : Characterising live cell behaviour: Traditional label-free and quantitative phase imaging approaches - 3rd December 2016
Label-free imaging uses inherent contrast mechanisms within cells to create image contrast without introducing dyes/labels, which may confound results. Quantitative phase imaging is label-free and offers higher content and contrast compared to traditional techniques. High-contrast images facilitate generation of individual cell metrics via more robust segmentation and tracking, enabling formation of a label-free dynamic phenotype…
Utilise an adaptive algorithm to correct for the dynamic evolution of the fluid meniscus.