Tru AI Technology

Accurate and Efficient Image Analysis using Deep Learning

Next-Generation Image Analysis Based on Deep Learning

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.

Image Enhancement

The neural network can learn the features of noise in advance, making it possible to construct images with a high signal-to-noise ratio, even if the signals are weak.

Noisy images with very weak fluorescence intensity also make object recognition for segmentation difficult. It’s also important to minimize image fading and acquire the images as quickly as possible.
De-noising using deep-learning technology makes it possible to acquire clear images when the noise level is high and the exposure time is short.

Save Time and Effort with Live AI

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

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.

SALES

Peter Lindelöf (Lund)

E-mail: Peter@lri.se

Phone: 0708 - 13 35 94

Joakim Lindelöf (Lund)

E-mail: Joakim@lri.se

Phone: 0708 - 13 35 92

Kennet Agnebo (Stockholm)

E-mail: Kennet@lri.se

Phone: 0761 - 88 14 48

Hugo Lindelöf (Uppsala)

E-mail: Hugo@lri.se