Feature Application: Drug Discovery
In this Feature Application we demonstrate how the CX-A can be used for drug screening, target identification or mechanism of action studies. We feature the results of a multi-well, time-lapse imaging experiment featuring preadipocytes that have been perturbed by various anti-cancer drugs. We highlight the structural changes that the drugs have on cells and show that it is possible to analyse the images quantitatively.
Feature Application: Characterising cancer cells and their interactions with immune cells
One of the most promising avenues of research in immunology is long-term, live imaging. Capturing dynamic biological processes in real time holds the key to understanding which cell-cell interactions promote a successful immune response, and which promote disease.
Feature Application: Cell metabolism
In this Feature Application, we show that: (1) holotomography can resolve the spatial and temporal dynamics of mitochondria, LDs and mitochondria-LD interactions in unperturbed conditions; (2) it is possible to induce mitochondrial dysfunction and then restore functioning by the addition of a specific drug and (3) it is possible to induce and then visualize the early stages of LD formation.
Using the 3D Cell Explorer-fluo for fluorescence and holotomographic imaging
Time lapse imaging of mouse embryonic stem cells (mESCs) that have been genetically modified to express the fluorescence ubiquitination cell cycle indicator (FUCCI)
- Learn how to use the 3D Cell Explorer-fluo to record movies that require both fluorescence and 3D refractive index imaging
- Learn how to analyze the resulting time lapse experiment
Feature Application: Characterization of stem cells
In this Feature Application, we show how Nanolive’s technology can be used to: (1) observe MSCs in 3D over long periods of time at high spatial and temporal resolution; (2) capture mitotic division events in MSCs in unparalleled detail; (3) observe the dynamics of stress fiber formation and (4) visualize the morphological changes that occur during stem cell differentiation.
Visualizing three-dimensional data produced by the 3D Cell Explorer
Visualizing tomographic data in an efficient way is essential for designing further 3D image analysis
- Export properly your data produced with the 3D Cell Explorer
- Learn how to prepare your data
- Learn how to visualize it in optimal ways
3D object detection and segmentation inside an RI map
Using a simple example, a 3D segmentation of HeLa cells nuclei, you will:
- Learn how to properly segment the nuclei of mammalian cells present in a 3D refractive index map using FIJI
- Acquire computational tools and knowledge to analyze your images
Quantitative Analysis of 3D Refractive Index Maps
Using two examples i) HeLa cell nuclei and ii) a time series of mouse embryonic stem cell images, you will:
- Learn how to obtain a set of numerical features that will describe your objects of interest once they have been segmented
- Learn how to extract a large panel of features from an object as well as simple visualization cases, more advanced 3D object segmentation and feature plotting with a focus on how to calculate dry mass out of refractive index values.