Repetitive Cellular Imaging
Repetitive Cellular Imaging - Related Videos
13:49
High-resolution Fiber-optic Microendoscopy for in situ Cellular Imaging
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Cited by 84 •
2011
In many biological and clinical situations it is advantageous to study cellular processes as they evolve in their native microenvironment. Here we describe the assembly and use of a low-cost fiber-optic microscope which can provide real time imaging in cell culture, animal studies, and clinical patient studies.
10:28
Imaging Mismatch Repair and Cellular Responses to DNA Damage in Bacillus subtilis
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Cited by 8 •
2010
A detailed protocol is described for imaging the real time formation of DNA repair complexes in Bacillus subtilis cells.
17:51
In vivo Imaging of Intact Drosophila Larvae at Sub-cellular Resolution
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Cited by 21 •
2010
This protocol describes a reliable method for anesthetization and imaging of intact Drosophila melanogaster larvae. We have utilized the volatile anesthetic desflurane to allow for repetitive imaging at sub-cellular resolution and re-identification of structures for up to a few days1.
10:44
Two-photon Imaging of Cellular Dynamics in the Mouse Spinal Cord
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Cited by 5 •
2015
A new ex vivo preparation for imaging the mouse spinal cord. This protocol allows for two-photon imaging of live cellular interactions throughout the spinal cord.
03:40
Intravital Imaging: A Method for Cellular Level Observation of the Mouse Pancreas Through a Stabilized Imaging Window
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2025
In this video, we describe the intravital imaging of a mouse pancreas through a stabilized window for long-term visualization of cellular dynamics.
FAQs
Repeated observations preserve the sequence of cellular events, allowing researchers to distinguish transient changes from sustained behaviors. Instead of viewing movement, division, morphology, or interactions as isolated snapshots, investigators can relate one event to what precedes and follows it. This temporal context supports a more precise interpretation of how cellular behavior changes during infection or immune activation.
Controlled culture conditions help maintain the cells while imaging returns to the same defined fields at scheduled intervals. This consistency makes observations more comparable across time and reduces disruption caused by repeatedly handling or relocating the sample. As a result, changes in morphology, movement, division, and cell interactions are more likely to reflect the evolving biological process.
Time-resolved image sequences can support quantitative assessment of cell movement, division, morphology, and interactions. Tracking these features across successive observations connects visible behavior with infection progression, immune activation, or treatment effects. The resulting measurements provide a structured basis for comparing cellular responses over time rather than relying only on qualitative impressions from individual images.
Separate single images show cellular states at selected moments but do not preserve the continuity between them. Repetitive Cellular Imaging follows defined fields through successive time points, making it possible to associate changes with earlier cellular behavior. In immunology and infection studies, that continuity helps clarify the timing and progression of migration, pathogen entry, intracellular replication, and cell-to-cell responses.
The workflow begins by maintaining cells under controlled culture conditions, selecting defined fields, and imaging those fields at scheduled intervals. Researchers then compare successive images to follow changes in cell movement, division, morphology, and interactions. Quantitative analysis of the resulting time series can relate these observations to infection progression, immune activation, or responses to treatment.
It is useful when the research question concerns events that unfold over time rather than a single cellular state. Applications described for this context include following immune-cell migration, pathogen entry, intracellular replication, and cell-to-cell responses. Observing these processes repeatedly can reveal how host and pathogen behaviors develop together during infection and immune responses.
Quantitative measurements from repeated images can be compared with changes in cellular behavior during treatment. Movement, division, morphology, and interactions provide observable outcomes that may change as infection progresses or immune activation develops. Connecting these time-resolved measurements with treatment effects supports more precise models of host-pathogen interactions and helps characterize cellular responses across the observation period.