Multiparametric cytotoxicity assays
In this application note we demonstrate how the huge potential that Nanolive imaging holds for the drug discovery process, where cytotoxicity remains one of the major causes of drug withdrawal, and there is an urgent need for reliable and time-saving assay workflows. We show it is possible to quantify the onset and progression of stress with high precision, bringing greater accuracy to cell death research and that different cell death stimuli show unique signatures in cell metrics (case study one).
Characterizing cancer cells and their interactions with immune cells
In this application note, we begin by examining the interactions between t-cells, dendritic cells, and macrophages (case study 1). We then image t-cells responses to cancer cells (case study 2) and the interactions that occur between t-cells and macrophages (case study 3). We show Nanolive imaging can be used to monitor the response of cancer cells to promising antibody drug conjugate (ADCs) products (case study 4) and novel bispecific antibodies (case studies 5 and 6). Finally, we finish with an example of a drug screen where we describe the phenotypic response of living cells to various kinase inhibitors that have shown promise as anti-cancer treatments (case study 7).
Characterizing cell metabolism
This Feature Application highlights the huge potential of Nanolive cell imaging for metabolic studies. We begin by proving that mitochondria and LDs have specific RI signals that allow them to be identified and mapped, in 3D (case study 1). We show that it is possible to image fission-fusion dynamics in mitochondria (case study 2), induce and detect mitochondrial dysfunction (case study 3) and then restore mitochondrial function by the addition of a specific drug (case study 4). Finally, we show that it is possible to quantify LD dynamics in unperturbed (case study 5) and drug-perturbed conditions (case study 6).
Characterizing stem cells
This Feature Application shows the enormous potential of Nanolive technology for observing stem cells in 3D for long periods of time, at unprecedented spatial and temporal resolution (case study 1). We use our technology to capture all the phases of mitosis (case study 2) and the dynamics of stress fiber formation (case study 3), in unparalleled detail. We then showcase our most ground-breaking contribution to this research field, monitoring the sub-cellular morphological changes that occur during stem cell differentiation. We focus on neural differentiation at the single cell (case study 4) and population level (case study 5), before examining the temporal evolution of osteogenic (case study 6) and chrondrogenic differentiation (case study 7) in high resolution.
Here, we demonstrate how the CX-A can be used for drug screening, target identification or mechanism of action studies. We start by showing the results of multiple, time-lapse imaging experiments featuring cells that have been perturbed by various anti-cancer drugs. We highlight the structural changes that the drugs have on cells (case study one) and show that it is possible to analyze the images quantitatively (case study two). We finish with an example of a drug screen where we describe the phenotypic response of living cells to various kinase inhibitors that have shown promise as anti-cancer treatments (case study 3).
Characterizing single cells at the population level
In this Feature Application, we showcase the enormous potential that Nanolive live cell imaging holds for single cell characterization. We begin, by analyzing micro-heterogeneity at the population and the temporal level in unperturbed cells (case study one). We then extend our analysis to include a quantitative assessment of lipid droplet dynamics (case study two), before investigating how intracellular trafficking (case study three) and respiratory perturbation (case study four) impacts microheterogeneity in cell morphology.
Here, we feature a timeline of the morphological changes undifferentiated primary cortical neurons undergo after exposure to neurite stimulation media. We show how our high precision segmentations can be used to calculate cell metrics (e.g. volume, shape and dry mass) of interest and link these directly to novel behaviours observed in individual neurons (case study one). We examine the sub-cellular morphological changes that stem cells undergo during neural differentiation, at both the single cell (case study 2) and population level (case study 3).
3D CELL EXPLORER
Budget-friendly, easy-to-use, compact solution for high quality non-invasive 4D live cell imaging
3D CELL EXPLORER-fluo
Multimodal Complete Solution: combine high quality non-invasive 4D live cell imaging with fluorescence