Next-Generation Image Analysis Based on AI Technology

Experiments often require data from microscope images. For accurate image analysis, segmentation—especially thresholds based on intensity values or color—is used to extract the analysis targets from the image. But this can be time-consuming and affect the sample condition.

TruAI technology’s next-generation image analysis helps solve these challenges.

Only the dividing cells are detected (right)

Prediction of mitotic cells using TruAI (green).

TruAI detects the glomeruli features (right)

Prediction of glomeruli positions on a mouse kidney section using TruAI (blue).

(green) fluorescence image of nuclei, (blue) nuclei detected from brightfield image by TruAI technology

Green: You can see that the detection accuracy is low due to the unevenness of the GFP label.
Blue: Detecting the nuclei with high accuracy despite scratches and dust on the vessel.

Fast and Efficient

  • High-precision detection and segmentation based on deep-learning technology delivers efficient and reliable analysis results
  • Optimal for cell counting and geometric measurements, like area or shape, without phototoxicity
  • Less than 1-second processing time per position

Read the TruAI white paper

Figure6

An example showing the detection of nuclei. A schematic showing the application (inference) of the trained neural network.

Save Time and Effort with Live AI

Observe as the live inference results of the trained neural network are revealed. Knowing the inference results before you begin image acquisition increases the efficiency of your experiments.

Live detection of different phases in the cell cycle with HeLa cell culture*
Orange: G1 phase, green: S and G2 phase and Red: mitotic and daughter nuclei


*Although it became one of the most important cell lines in medical research, it’s imperative that we recognize Henrietta Lacks’ contribution to science happened without her consent. This injustice, while leading to key discoveries in immunology, infectious disease, and cancer, also raised important conversations about privacy, ethics, and consent in medicine.
To learn more about the life of Henrietta Lacks and her contribution to modern medicine, click here.
http://henriettalacksfoundation.org/

Macro to Micro Imaging

The macro to micro function enables you to acquire an overview image using low-magnification objectives, such as 4x, and then detect the sample area and acquire images of it at high magnification. By using TruAI, this process happens automatically, making your imaging faster and more efficient when using glass slides or dishes with multiple tissue sections.

Macro to Micro Imaging

“The pretrained nuclei recognition is absolutely stunning and now makes it possible to easily analyze very heterogenous samples without compromising on any cell fractions. Especially in high cell density areas, TruAI-based separation is clearly superior to intensity or edge detection, both speed- and performance-wise.”

Robert Strauss
Senior Scientist
Danish Cancer Society Research Center

Learn More

Perform Accurate and Efficient Microscopy Image Analysis Using TruAI Technology with Deep Learning

Perform Accurate and Efficient Microscopy Image Analysis Using TruAI Technology with Deep Learning

Read the app note

Predicting Multi-Class Nuclei Phenotypes for Drug Testing Using Deep Learning

Predicting Multi-Class Nuclei Phenotypes for Drug Testing Using Deep Learning

Read the app note

Rapid Automated Detection and Segmentation of Glomeruli Using Self-Learning AI Technology

Rapid Automated Detection and Segmentation of Glomeruli Using Self-Learning AI Technology

Read the app note

Accelerating and Optimizing the Segmentation and Analysis of Pancreatic Islets with the VS200 Research Slide Scanner and TruAI Deep-Learning Solution

Accelerating and Optimizing the Segmentation and Analysis of Pancreatic Islets with the VS200 Research Slide Scanner and TruAI Deep-Learning Solution

Read the app note

Label-Free Transmigration Assay Using scanR TruAI for Self-Learning Microscopy

Read the app note

Instance Segmentation of Cells and Nuclei Made Simple Using Deep Learning

Instance Segmentation of Cells and Nuclei Made Simple Using Deep Learning

Read the blog post

Instance Segmentation of Cells and Nuclei Made Simple Using Deep Learning

20 Examples of Effortless Nucleus and Cell Segmentation Using Pretrained Deep-Learning Models

Read the blog post

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IXplore Live

IXplore Live

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IXplore Spin

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FV3000

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Innovative Tru technologies help researchers overcome the challenges of imaging experiments.

TruSight

Seamless deconvolution for clearer, sharper images.

TruFocus

Stable focus throughout time-lapse experiments.

TruSpectral

High light efficiency for bright, precise multicolor images.

TruResolution

Automated correction for brighter and sharper images at depth.




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