Application list

We will introduce an example of CL-Quant Add-on Module that can easily analyze a large number of live cell images taken with BioStation CT or BioStudio-T, or a custom order application that analyzes with custom support.

Application notes related to those Add-on Modules are also displayed on the Microscope Unified Site.

CL-Quant Add-on Module

The following application softwares are for the purpose that specific image analysis can be performed simply using CL-Quant in the field of research and development. As we have developed image analysis algorithms for many years and accumulated know-how, now we start to provide CL-Quant Add-on Module. This product can be used to analyze cell images taken with BioStation CT, BioStudio-T, etc.

Simple application software

For details, please see the Microscope Unified Site.

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Application Overview
Cell Confluency In place of visual judgment, the application enables objectively measurement, quantification and record of the adherent cell occupancy ratio (confluency) that is important for determination of the timing of passages and assays.

Learn more about the application, download Application Note 1.[PDF] (PDF:676KB)
Learn more about the application, download Application Note 2.[PDF] (PDF:755KB)

Human pluripotent stem cell (hPSC) Colony Coverage Ratio The application enables quantification and record of the ratio of coverage area (confluency) of hPSC (human iPS/ES cell) that form characteristic colonies.

Learn more about the application, download Application Note.[PDF] (PDF:621KB)

Human pluripotent stem cell (hPSC) Colony Count The number of hPSC (human iPS/ES cell) colonies is countable by automatic calculation without complicated work.

Learn more about the application, download Application Note.[PDF] (PDF:563KB)

Human pluripotent stem cell (hPSC) Colony Area Package The following four items on hPSC (human iPS/ES cell) are measured.
  1. 1.colony number
  2. 2.Individual colony area
  3. 3.Average colony area
  4. 4.Total colony area

Learn more about the application, download Application Note.[PDF] (PDF:594KB)

Neurite Length (based on phase-contrast image) The application can be measured the total lengths of neurites in the field automatically from phase-contrast images without staining.

Learn more about the application, download Application Note.[PDF] (PDF:607KB)

Neurite Length (based on fluorescence image) The application can be measured the total lengths of neurites in the field automatically from fluorescence images of cells in which neurites or whole neurons exhibit fluorescence.

Learn more about the application, download Application Note.[PDF] (PDF:643KB)

Neuronal Cell/Cluster Count (based on phase-contrast image) The application can be measured the neuronal cell and/or cluster numbers in the field automatically from phase-contrast images without staining.

Learn more about the application, download Application Note.[PDF] (PDF:607KB)

Neuronal Cell/Cluster Count (based on fluorescence image) The application can be measured the neuronal cell and/or cluster numbers in the field automatically from fluorescence images of cells in which neurites or whole neurons exhibit fluorescence.

Learn more about the application, download Application Note.[PDF] (PDF:643KB)

MSC Counting Counts mesenchymal stem cells (MSCs) based on phase-contrast images. Requires no cell staining, enabling non-invasive analysis of cell proliferation conditions.

Learn more about the application, download Application Note.[PDF] (PDF:688KB)

Scratch Assay Measures cell migration into an in vitro wound/scratch using phase-contrast images. Automatically calculates % wound closure by measuring the area of the wound and the area of cells migrating into the wound.

Learn more about the application, download Application Note.[PDF] (PDF:848KB)

Machine Learning - Image Classification Learns texture information from overall teacher images for judgment, and creates a decision tree for image classification. Can objectively classify cell images based on texture features that are difficult to evaluate with the human eye.
hPSC Colony Tracking Automatically detects and identifies individual colonies of human pluripotent stem cells based on time-lapse phase-contrast images, and measures the area of the colony at each time point to generate growth curves.

Learn more about the application, download Application Note.[PDF] (PDF:760KB)

Examples of Custom-order Add-on Module

The followings are examples of custom-order image analysis applications. It lists up the analysis experience so far.

Application Packages

We provide solutions for combining multiple measurement applications according to various requirements.
Application combinations for packages can be customized in other ways than shown in the list below to meet your exact requirements.

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Packages Overview
Determine iPSC colony and non-iPSC colony to evaluate reprogramming efficiency.
Count cell number on images from single cell to iPSC colony.
Numeralize the cell density of the culture dish surface and create density distribution map.
Automatically distinguish undifferentiated state of cells inside and around iPSC colony.
Determine the degree of fusion between iPSC colonies.
Quantify induction efficiency and induction rate when iPS cells are induced to differentiate into neurons.

Measurement Applications

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Applications Overview
Accurately measure the colony confluency in culture and generate a confluency curve by acquiring time-lapse images.
Identify individual colonies and track each colony size over time.
Measure and evaluate the compactness of the colony.
Identify differentiated regions within and around hPSC colonies.
Identify an undifferentiated region within the hPSC colony.
Identify and count the human iPSC colonies during reprogramming.
Determine iPSC or non-iPSC colonies based on several criteria such as shape and morphology.
Measure the reprogramming efficiency by counting true iPSC colonies.
Count the number of cells sequentially by acquiring time-lapse images.
Identify suspended/adherent cells and calculate their sub-population.
Quantify sub-confluency and generate the confluency curve from cell coverage area under time-lapse observation.
Visualize cell distribution and density in culture vessels as heat map style.
Measure cell density sequentially by acquiring time-lapse images.
Identify individual cell and measure its area sequentially.
Measure cell morphological features.
Cell migration (phase contrast) Coming soon.
Classify cell morphological features using single cell tracking technologies.
Classify cell morphological features using single cell tracking technologies.
Count cell body number with identifying neuronal cell body.
Assess cell body area from outline of cell body.
Count number of nodes per neuron.
Count branching points per neuron.
Measure neurite length.
Measure neurite length.