Met Storm Imaging
Met Storm Imaging - Related Videos
16:52
Test Samples for Optimizing STORM Super-Resolution Microscopy
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Cited by 48 •
2013
We describe the preparation of three test samples and how they can be used to optimize and assess the performance of STORM microscopes. Using these examples we show how to acquire raw data and then process it to acquire super-resolution images in cells of approximately 30-50 nm resolution.
08:43
Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM
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Cited by 5 •
2017
We demonstrate a method to image multiple molecules within heterogeneous nano-structures at single molecule accuracy using sequential binding and elution of fluorescently labeled antibodies.
06:27
Simulating Impacts of Ice Storms on Forest Ecosystems
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Cited by 6 •
2020
Ice storms are important weather events that are challenging to study because of difficulties in predicting their occurrence. Here, we describe a novel method for simulating ice storms that involves spraying water over a forest canopy during sub-freezing conditions.
09:38
Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
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Cited by 4 •
2017
An in vitro method for establishing dual resistance to an EGFR-TKI and a MET-TKI in cancer cells is described. This method is useful for developing treatments for patients with EGFR-mutations, who exhibit disease progression despite EGFR-TKI treatment with MET-amplification. It can also be modified for inhibitors targeting other molecules.
11:24
Preparation of Living Isolated Vertebrate Photoreceptor Cells for Fluorescence Imaging
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Cited by 2 •
2011
A method is described for the preparation of single living photoreceptor cells from different vertebrate species for fluorescence imaging. The method can be used to image the fluorescence of endogenous fluorophores, such as NADH or vitamin A, or that of exogenously added fluorescent dyes sensitive to Ca2+ or other factors.
FAQs
The signal source determines which metabolic event becomes visible. Fluorescent probes can indicate a particular process directly, reporter systems can reflect a biological response, and labeled substrates can track how cells use a metabolic input. Choosing among them lets investigators align the imaging signal with glucose uptake, mitochondrial activity, oxygen use, pH change, or reactive oxygen production.
Met Storm Imaging gains interpretive value from both timing and location. A signal that appears during immune-cell activation can be aligned with cytokine production, while its distribution in cells or tissue can be considered alongside pathogen control or tissue damage. This temporal and spatial context helps clarify when metabolic changes arise and how they relate to infection or inflammation.
Each metabolic readout captures a different aspect of cell or tissue state. Glucose uptake provides information about a metabolic input, whereas mitochondrial activity, oxygen use, pH shifts, and reactive oxygen production report other cellular processes. Examining the appropriate signal helps connect metabolism with cytokine production, immune activation, pathogen control, or tissue damage.
An experiment starts by selecting live-cell or tissue imaging to match the biological setting. Investigators then pair that format with a fluorescent probe, reporter system, or labeled substrate suited to the metabolic process of interest. Imaging the sample allows metabolic signals to be related to immune activation, infection, inflammation, or tissue injury.
In infection research, the approach can connect metabolic behavior with host-pathogen interactions. Imaging may show how metabolic changes accompany immune-cell activation, cytokine production, or pathogen control, while tissue measurements can place those changes alongside damage. This makes the method useful for examining immune responses in spatial and temporal context.
Met Storm Imaging can support therapy evaluation by showing whether an intervention changes metabolic features associated with inflammation or antimicrobial activity. Researchers can relate the observed signals to cytokine production, pathogen control, or tissue damage to assess how a treatment reshapes immune responses. Its value lies in linking therapeutic effects to cellular metabolism rather than viewing them separately.