Incucyte Imaging
Incucyte Imaging - Related Videos
13:45
Hybrid µCT-FMT imaging and image analysis
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Cited by 34 •
2015
We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution.
09:08
Multiple-mouse Neuroanatomical Magnetic Resonance Imaging
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Cited by 59 •
2011
Magnetic resonance imaging (MRI) has become an increasingly popular tool for examining the phenotype of genetically altered mice. This article illustrates the methods necessary to achieve high-throughput phenotyping of genetically altered mice using multiple-mouse MRI.
06:46
Non-invasive In Vivo Fluorescence Optical Imaging of Inflammatory MMP Activity Using an Activatable Fluorescent Imaging Agent
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Cited by 4 •
2017
This paper explains the application of fluorescent imaging using an activatable optical imaging probe to visualize the in vivo activity of key matrix metalloproteinases in two different experimental models of inflammation.
09:52
Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse
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Cited by 25 •
2013
Recently developed imaging techniques using near-infrared fluorescence (NIRF) may help elucidate the role the lymphatic system plays in cancer metastasis, immune response, wound repair, and other lymphatic-associated diseases.
13:05
Functional Magnetic Resonance Imaging (fMRI) with Auditory Stimulation in Songbirds
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Cited by 12 •
2013
This article shows an optimized procedure for imaging of the neural substrates of auditory stimulation in the songbird brain using functional Magnetic Resonance Imaging (fMRI). It describes the preparation of the sound stimuli, the positioning of the subject and the acquisition and subsequent analysis of the fMRI data.
FAQs
Keeping cultures in a controlled incubator allows scheduled observations without repeatedly removing them for microscopy. That reduces interruption to the culture environment and lets measurements come from the same cultures across time. The resulting kinetic record can show whether a cellular change develops gradually, persists, or varies during an experiment, rather than providing only a single observational snapshot.
The image-analysis software supports several complementary readouts from cultured cells, including confluence, proliferation, migration, morphology, and fluorescent signals. These measurements describe both population-level change, such as increasing occupied area, and visual or signal-based change in the same experiment. Using multiple readouts can help distinguish altered growth from changes in movement, appearance, or fluorescence during a biological study.
Fluorescent signals provide an additional time-dependent readout alongside cell confluence, proliferation, migration, or morphology. By following fluorescence in the same cultures across scheduled images, researchers can examine whether signal changes accompany changes in cellular appearance or behavior. This is especially useful when fluorescence is part of the biological question, because the analysis captures its progression rather than recording only one time point.
Repeated measurements reveal the sequence and timing of cellular responses, not just whether a difference is present at the end. In studies of growth, wound healing, cytotoxicity, apoptosis, or drug response, this temporal information can show how behavior changes during the experiment. It also allows comparisons between cultures based on their trajectories, supporting more consistent interpretation of dynamic biology.
Researchers culture cells, keep the cultures in the controlled incubator, and configure scheduled image acquisition. The system then collects images during the experiment, while analysis software tracks selected features such as confluence, migration, morphology, proliferation, or fluorescence. This workflow produces a time-resolved record from the cultures, so observations and measurements can be reviewed across the progression of the study.
It is useful when the biological effect may develop over time, including experiments examining cytotoxicity, apoptosis, or broader drug responses. Instead of relying on a single observation, researchers can follow changes in the same cultured cells and connect treatment-related effects with alterations in growth, morphology, confluence, or fluorescent signals. The result is a kinetic view of how the response progresses.
For wound-healing studies, tracking migration over successive images provides a time course of how cultured cells move and how the observed pattern changes during the experiment. The same kinetic strategy also applies to proliferation and immune-cell activity, allowing researchers to examine dynamic cellular behavior rather than treating each observation as an isolated event. This supports biological comparisons across the study period.