Olympus FV1000 manual Rics Application and Principles, Rics Principle, Rics Analysis Method, Small

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Application/ Molecular Interaction Analysis

RICS Application and Principles

Comparison of Diffusion Coefficients for EGFP Fusion Proteins Near to Cell Membranes and In Cytoplasm

RICS can be used to designate and analyze regions of interest

At cytoplasmic membrane

In cytoplasm

based on acquired images.

Diffusion coefficient D =0.98 µm2/s

Diffusion coefficient D =3.37 µm2/s

EGFP is fused at protein kinase C (PKC) for visualization, using live cells to analyze the translocation with RICS. The diffusion coefficient close to cell membranes was confirmed to be lower than in cytoplasm, after stimulation with phorbol myristate acetate (PMA). This is thought to be from the mutual interaction between PKC and cell membrane molecules in cell membranes.

In addition to localization of molecules, RICS analysis can simultaneously determine changes in diffusion coefficient, for detailed analysis of various intracellular signaling proteins.

Sample image:

HeLa cells expressing EGFP fusion PKC (after PMA stimulation)

RICS Principle

Molecules of different sizes diffuse at different speeds within cells. Small molecules move faster, compared with large molecules that move relatively slowly. The FV1000 acquires information on the movement of these diffusing fluorescent- labeled molecules as image data, together with morphological information about the cell. The image data obtained for each pixel was sampled at different times, so the data for each pixel is affected by the passage of time, in addition to its spatial XY information. By analyzing this image data with a new statistical algorithm for spatial correlation, the diffusion coefficients and molecule counts can be calculated for molecules moving within the cell.

Spatial Correlation Algorithm

When the spatial correlation algorithm is applied between pixels, a higher correlation is obtained as the speed of movement of the molecule nears the scanning speed. When calculating the spatial correlation in the X-direction, because the scanning speed in the X-direction is fast, a higher correlation is obtained for fast-moving molecules than for slow-moving molecules. When the scanning speed in the Y- direction is slow, a higher correlation is obtained for slow-moving molecules. RICS using LSM images scans in both X- and Y-directions, so it can be used to analyze the movements of a wide range of molecules, both fast and slow.

Scan in X-Axis Direction

0 µs

10 µs

20 µs

30 µs

40 µs

50 µs

n µs

0 ms

Scan in Y-Axis Direction

0 ms

1 ms

2 ms

3 ms

4 ms

n ms

Small

Molecule size

Large

RICS Analysis Method

Results of Analysis (diffusion coefficient and molecule count)

LSM Image

Spatial Correlation

Theoretical Formula Used

 

 

for Fitting Calculation

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Contents FV1000 Olympus is Open FLUOVIEW--FromIng up New Worlds Imaging to AnalysisAdvanced Fluoview Systems Enhance the Power of Your Research Page Scanners/Detection Excellent Precision, Sensitivity and StabilityLaser combiner/Fiber Samples and Specimens IcityOptical System Filter Based Detection Spectral Based DetectionSimultaneous Laser Light Stimulation and Imaging SIM Simultaneous Scanner UnitWide Choice of Bleaching Modes Multi-Purpose Laser CombinerNEW Low Chromatic Aberration Objective Improved Flatness and Resolution at 405 nmBest Reliability for Colocalization Analysis Flatness Comparison Image at 1x ZoomFV1000MPE Multiphoton Excitation System User-Friendly Software to Support Your Research Help Guide Re-Use FunctionMulti Stimulation Software Multi-Area Time-Lapse SoftwareFret 3D/4D Volume Rendering Multi-Dimensional Time-LapseMeasurement Light StimulationRICS-Raster Imaging Correlation Spectroscopy Diffusion Measurement PackagePoint FCS-Point scan Fluorescence Correlation Spectroscopy Frap AnalysisRics Principle Rics Application and PrinciplesRics Analysis Method Spatial Correlation AlgorithmFLIP-Fluorescence Loss in Photobleaching FRAP-Fluorescence Recovery after PhotobleachingLaser Light Stimulation Multi-Point Laser Light Stimulation PhotoconversionUncaging Significantly Improved Long Time-Lapse Throughput Multi-Dimensional Time-LapseFocal Drift Compensation for Long Time-Lapse Imaging Maintain Cell Activity Over a Long PeriodAutomated from 3D Image Acquisition to Mosaic Imaging 3D Mosaic ImagingMosaic Imaging for 3D XYZ Construction Analysis Expandability to Support Diverse Application405 Ulti MCherryNHeNe Ree 458 473 488 515Scanning Units Optional Upgrade Equipments for FV1000Laser Systems Illumination UnitsHigh-Precision Motorized Stage/ Prior H117 FV1000 System DiagramCO2 Incubator Using U-UCD8A-2, IX2-LWUCDA2 and U-DICTS Main SpecificationsUsing WI-UCD, WI-DICTHRA2 Objectives for BX2Images are courtesy of the following institutions Dimensions, Weight and Power ConsumptionRecommended FV1000 system setup IX81, BX61, BX61WI Olympus Corpoaration is ISO9001/ISO14001 certified Fluoview website