SI8000 Cell Motion Imaging System

Common Software Function

Cardio and Research software include functions that let users detect cells motion, analyze a region of interest and visualize data via map, plot or graph.

Visualization

The sophisticated Motion Vector algorithm yields precise visualization of motion parameters. Power Spectral Density (PSD) analysis provides visualization of the speed of motion in single cells or across cell cultures. PSD is displayed in Cardiomyocytes (left) and neuron culture (right.)

Visualization


Visualize Cell Motion

Motion detection points capture the characteristics of moving images in a movie and displays the characteristics as a motion vector.

High Speed Motion Capture, Quantification and Visualization


Motion Vector Analysis

High spatial and temporal resolution enables high fidelity detection of the motion of cells (red arrow). The analysis software searches for luminance similarity using the block matching method from one frame to the next to accurately calculate displacement vectors, quantifying the distance the cells moved for richer and more precise data.

Motion Vector Analysis


Cardio Model Software Functions

The Cardio Model has a number of specialized capabilities for analyzing the beating motion of cardiomyocytes. Graphic outputs include heat maps of contraction, relaxation, propagation, and isochrone maps that detect abnormalities in cardiac cells as well as cellular and sub-cellular motion visualization.

Quantification

Quantification
In Cardiomyocytes, a beat profile is obtained from Regions of Interest (ROIs). ROIs can be positioned over single cells or clusters of cells. From the beat profile, contraction and relaxation parameters can be calculated. A sophisticated Motion Vector algorithm allows for highly accurate propagation analysis and quantification for a richer and deeper understanding of results.

Quantification
Overlay of the beat profiles showing contraction (first peak) and relaxation (second peak). The high speed camera enables precise detection of both contraction and relaxation of a beating cardiomyocyte for more precise indication of beat parameters.

Quantification
A series of beat profiles showing contraction (first peak) and relaxation (second peak). By measuring both contraction and relaxation, the SI8000 provides a complete profile of the actual contraction unlike other systems that infer contraction parameters from other measures.


Contractile motion of single cardiomyocyte derived from hiPS cell (hiPS-CM)

This data shows single cell beat profiles from single cardiomyocytes. A beat profile consists of the contract and relaxation of a beating cardiomyocyte. The SI8000 lets researchers visualize the spread of contraction throughout the cardiomyocyte and obtain valuable data regarding the mechanisms of contraction. Researchers can also visualize the spread of contraction across single cells for a deeper understanding of the mechanisms of cardiomyocyte contractility.

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A single cardiomyocyte is isolated (left) and its beat profile is obtained. The images in the middle and right show motion vectors and propagation of contraction respectively. This analysis demonstrates the high fidelity of motion analysis at the single cell level.

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The beat profile is obtained (left) as the cardiomyocytes 1 2 3 4 5 contract and relax (bottom). The phases of the beat profile (top right) correspond to the contraction and relaxation of the cardiomyocyte (bottom right).


Quantification of cardiomyocytes contractility for Safety Pharmacology assays

High speed video imaging analyzes cardiomyocyte contraction to detect subtle changes that can occur in response to compounds. The system delivers excellent insights for safety pharmacology assays. The phase contrast microscope and high speed video imaging improves spatial resolution of cardiomyocytes over systems that use fluorescent or voltage sensitive dyes while providing precise temporal resolution similar to electrophysiological assays. High spatial and temporal resolution offers greater depth of data and more precision for safety pharmacology assays. By analyzing the actual contraction of cardiomyocytes, the SI8000 has the ability to detect subtle changes that may occur in response to a compound or drug.

Quantification of cardiomyocytes contractility
The SI8000 supports a variety of beat parameters including beat rate and interval, contraction and relaxation velocity, shortening length (displacement), contraction-relaxation duration, synchronicity of contraction, propagation of contraction, orientation of contraction direction.


Easily detect markers of arrhythmia

The SI8000 detects both contraction and relaxation to detect subtle differences in the beat profile that may be missed by other systems. For example, if field potential duration is modified by a drug or compound, the system determines the precise effect a drug or compound has on contraction, relaxation, or both contraction and relaxation, to deliver more precise data for analysis.

Easily detect markers of arrhythmia

The data show the beat profile of stem cell derived cardio-myocytes in response to E-4031 reference compounds known to have an influence on field potential duration. By analyzing both contraction and relaxation, the SI8000 can identify changes in the beat profile even in the absence of changes in electrophysiology or changes in the field potential waveforms

Quantification of cardiomyocytes contractility
This data shows simultaneous acquisition of multi-electrode array recordings (blue trace) and motion imaging (red trace). The red trace shown an Early After Depolarization (EAD) phenomenon in response to 100 nM E-4031. The SI8000 can reliably and accurately detect arrhythmic events such as EADs offering a true representation of the data.


Research Model Software Functions

Research software detects and analyzes cellular behavior from intra-cellular level to tissue-level. It can detect and quantify cell motion at the submicron level allowing researchers to visualize and analyze the fine movement of target cells, at target size, and time intervals. The Sony A super resolution engine powers cell imaging and High Quality (HQ) mode delivers clear moving images

Easily Quantify Cell Movement

The software enables a variety and wide range of motion to be evaluated from the cellular micro-level to the tissue macro-level.

Easily detect markers of arrhythmia
Macro and micro motion analysis allows users to select and set a tracking are for analysis.
Easily detect markers of arrhythmia
Analysis can be performed on a cell area. The software calculates the cell area parameters selected by the user.
Easily detect markers of arrhythmia
By selecting the tracking areas and direction of motion with trajectory analysis. The software quantifies the speed or distance of migrating cells.
Easily detect markers of arrhythmia
Frequency analysis in the software analyzes frequency of the cellular movement.

Automatic Cell Recognition and Region of Interest (ROI) Setting

Using machine learning, the software can automatically recognize cells. This is accomplished by identifying target cells with the software and then “registering” them with the software. Once this is set up the software can also be set to look for target cells in a ROI of up to 6000 objects in the image area automatically. The system can search for multiple cells simultaneously to speed automatic identification.

Easily detect markers of arrhythmia
A. The software can automatically recognize cells to evaluate and analyze multiple cells simultaneously. B. In addition users can freehand draw a ROI around a cell shape and the software will identify cells of interest.

2D Mapping

The distribution of motion information for each cell in an image can be displayed in a 2D map. In addition, users can gate a cell group to obtain a motion profile.

Easily detect markers of arrhythmia
A. Cells with identified by ROI (light blue).
B. Cells gated in 2D map (pink).

Cell Tracking Detects Trajectory and Supplies Quantitative Data

The tracking function detects cell trajectory and can calculate quantitative data such as trajectory (XY chart), distance and speed. This makes the system effective at detecting and measuring for example, the trajectories of cell migration and sperm motion. The tracking function can also analyze parameters such as area, perimeter, and roundness which enables the software to follow shape changes of, for example, ex-vivo cardiomyocytes and colony formations.

Easily detect markers of arrhythmia
The software can detect the trajectory of cell movement as seen in this example of sperm movement. The Nucleus tracking feature can be used to analyze cancer cell migration.
Easily detect markers of arrhythmia
When a ROI is identified the software follows shape changes of target area. In this example, ex-vivo cardiomyocytes are tracked and the software calculates changes in long axis length due to shrinkage. Mophology tracking allows analysis of changes in cell proliferation such as colony formation.