4d Live-cell Imaging
4d Live-cell Imaging - Related Videos
08:59
4D Imaging of Protein Aggregation in Live Cells
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Cited by 4 •
2013
Cellular viability depends on timely and efficient management of protein misfolding. Here we describe a method for visualizing the different potential fates of a misfolded protein: refolding, degradation, or sequestration in inclusions. We demonstrate the use of a folding sensor, Ubc9ts, for monitoring proteostasis and aggregation quality control in live cells using 4D microscopy.
08:26
MAME Models for 4D Live-cell Imaging of Tumor: Microenvironment Interactions that Impact Malignant Progression
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Cited by 43 •
2012
We have developed 3D coculture models for live-cell imaging in real-time of interactions among breast tumor cells and other cells in their microenvironment that impact progression to an invasive phenotype. These models can serve as preclinical screens for drugs to target paracrine-induced proteolytic, chemokine/cytokine and kinase pathways implicated in invasiveness.
12:38
4D Multimodality Imaging of Citrobacter rodentium Infections in Mice
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Cited by 19 •
2013
Multi-modality imaging is a valuable approach for studying bacterial colonization in small animal models. This protocol outlines infection of mice with bioluminescent Citrobacter rodentium and the longitudinal monitoring of bacterial colonization using composite 3D diffuse light imaging tomography with μCT imaging to create a 4D movie of C. rodentium infection.
09:57
Live Cell Imaging of Mitosis
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2023
Mitosis is a form of cell division in which a cell’s genetic material is divided equally between two daughter cells. Mitosis can be broken down into six phases, during each of which the cell’s components, such as its chromosomes, show visually distinct characteristics. Advances in fluorescence live cell imaging have allowed scientists to study this process in great detail, providing important insights into the biological control of this process and how it might go wrong in diseases such as...
07:42
Live Cell Imaging during Mechanical Stretch
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Cited by 12 •
2015
A novel imaging protocol was developed using a custom motor-driven mechanical actuator to allow the measurement of real time responses to mechanical strain in live cells. Relevant to mechanobiology, the system can apply strains up to 20% while allowing near real-time imaging with confocal or atomic force microscopy.
FAQs
The approach links time-lapse image acquisition with optical sectioning or volumetric microscopy. Optical sections or volume measurements provide information about cellular structure in three dimensions, while repeated imaging records changes as they occur. Combining these data allows researchers to reconstruct cell behavior across space and time, helping distinguish movement, division, signaling, and tissue reorganization as dynamic processes.
Controlled culture conditions help maintain living cells while images are collected repeatedly over time. This matters because the method is designed to follow ongoing behavior rather than capture isolated fixed samples. Preserving the cellular system during acquisition supports observations of migration, division, signaling, tissue organization, and responses to therapeutic compounds within the same evolving biological context.
A single image can show cellular structure at one moment, but it does not establish how that structure changes. By following cells through successive time points and spatial planes, 4D live-cell imaging reveals the sequence and progression of events. This makes it possible to study how cells move, divide, signal, organize within tissues, or respond over time.
A typical workflow begins by maintaining the living biological system under controlled culture conditions. The microscope then acquires time-lapse images together with optical sections or volumetric data. Researchers use the resulting spatial and temporal information to reconstruct cellular behavior and examine changes such as migration, division, signaling, tissue organization, or responses to therapeutic compounds.
Researchers can use this approach when the timing and spatial organization of cellular events are important, including disease modeling, drug development, and treatment-response studies. It supports examination of how cells behave within changing biological systems rather than relying only on endpoint observations. This perspective can connect therapeutic exposure with subsequent changes in cellular activity or organization.
4D live-cell imaging allows investigators to observe cellular behavior while a biological system interacts with therapeutic compounds. Instead of assessing only a final state, they can examine changes unfolding across time and space. In medicine, this supports treatment-response studies by showing effects on processes such as migration, division, signaling, and tissue organization.