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Image Analysis Software

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Image Analysis Software for simple analysis on large number of live cell images

The following application softwares are for the purpose that specific image analysis can be performed simply using Nikon's Image Analysis Software in the field of research and development. As we have developed image analysis algorithms for many years and accumulated know-how, we have started to provide add-on Modules.

Baixar Cell Solutions Brochure (1.69MB)



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.
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.
Human pluripotent stem cell (hPSC) Colony Count

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

Human pluripotent stem cell (hPSC) Colony Area Package

The following four items on hPSC (human iPS/ES cell) are measured.

① Number of colonies
② Single colony area
③ Average area of colonies
④ Total area of the colony

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.

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.

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

Custom support

To meet customer requirements, we can provide additional module customization services. Applications we have developed are shown below.

Application package

Overview

iPS cell establishment evaluation (phase contrast)

Determine the distinction between iPS cell colonies and non-iPS cell colonies, and calculate the reprogramming efficiency.

Evaluation of iPS cell seeding skills (phase contrast) Quantify the cell density in the container and make a density distribution map.
Measurement application

Overview

Determination of density of iPS cell colonies (phase contrast) Undifferentiated iPS cells loosely combined immediately after inoculation,
but as the culture time increased, the cells showed a typical colony morphology with densely stacked cells. The density of iPS cell colonies was determined from the colony images.
Judgment of the quality of iPS cell reprogramming colonies (phase contrast) According to the colony shape formed when iPS cells were established, iPS cell colonies and non-iPS cell colonies were judged.
iPS cell reprogramming efficiency measurement (phase contrast) When iPS cells are established, the reprogramming efficiency can be measured based on the number of colonies and morphology.
MSC cell adhesion rate measurement (phase contrast) Identify adherent cells and suspension cells, and measure the proportion of adherent cells in the total number of identified cells.
MSC cell density distribution measurement (phase contrast) The distribution map visualizes the cell distribution and cell density in the culture vessel.
MSC cell morphology measurement (phase contrast) Quantify cell morphology.
Single nerve cell morphology measurement (phase contrast) Identify individual cells and measure morphology.