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MiniPIX GAMMA

A miniaturized and low-power radiation camera equipped with shielding box equipped with particle tracking and imaging detector. Timepix3 (256 x 256 square pixels with pitch of 55 μm). The system is available with a 1000 μm thick CdTe sensor.

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Readout chip type: Timepix3
Pixel size: 55 x 55 μm
Dynamic range in one frame: 1022
Dark current: none
Time resolution: 1,6 ns
Sensor material 1000 µm CdTe

Dimensions: Custom
Sensitive area: 14 mm x 14 mm
Number of Pixels: 256 x 256
Weight: Custom
Connectivity: USB type Micro-B
Software: PIXet Pro

Product description

Miniaturized and low-power radiation camera with state of the art Timepix3 chip

The MiniPIX GAMMA is a device equipped with an imaging collimator that makes it possible to visualize objects emitting radiation, such as radiation sources, radiopharmaceuticals, or backscattered radiation from irradiated objects. The imaging principle is analogous to a camera obscura, where only radiation traveling through specific directions reaches the detector, enabling image formation.

The TPX3 technology enables direct measurement of the energy of each detected photon, allowing the selection of specific energy ranges for optimal visualization of the desired signal while suppressing unwanted contributions, such as Compton-scattered radiation. In addition, its excellent time resolution makes it possible to identify and reject internal CdTe fluorescence events and reconstruct the original photon energy peak with high accuracy.

The typical and intended applications of MiniPIX GAMMA are:

  • Medical application: SPECT imaging
  • Non-destructive testing: Backscatter imaging
  • Radiation monitoring
  • Material analysis: XRF imaging

The MiniPIX GAMMA is controlled via USB 2.0 interface with standard µUSB connector. Complex PIXet Pro software for detector operation is provided together with the device. All major operating systems are supported (MS Windows, Mac OS and LINUX).

Available sensor layers

Product citations

Biomedical

Cancer research, bio-mechanics, and drug testing are just a few examples of X-ray imaging contributing to biological and medical research. New photon-counting detectors represent a severe advancement to these applications compared to previously used methods. The energy sensitivity of modern cameras opens better possibilities for identifying individual types of tissue and contrast agents. That has significant consequences in various industries, for example in cancer research, where the tumor tissue can be better distinguished from the healthy one.
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Non-destructive testing

Experience the power of our advanced cameras, delivering unmatched sensitivity, spatial resolution, and contrast. Our single-photon-counting cameras quickly uncover hidden details in various materials, from light composites to thick welded parts. The technology surpresses scattered radiation, capturing high quality images in record time. The capabilities of our photon-counting X-ray imaging unveil internal material structures and spot defects like porosity, fiber orientation, micro-cracks, and delaminations with unparalleled precision. Elevate your NDT with our industry-leading solutions, setting new standards in defect detection.
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Material Analysis

Do you need to determine the material composition of your sample? Minerals, alloys, polymers, electronics, batteries, or pigments? Our cameras are based on cutting-edge single X-ray photon counting sensors, and each detected photon is processed individually. This approach also allows measuring the wavelength of photons. It brings unprecedented image quality and new possibilities, such as material-sensitive X-ray imaging. Moreover, our detectors enable fast and compact X-Ray Diffraction (XRD) and Crystallography solutions. XRD sample analysis is performed up to an order of magnitude faster than conventional systems. Spectral sensitivity provides a unique ability to inspect the sample surface and its interior (Energy dispersive XRD).
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Discover all possibilities of Advacam cameras from real life case studies. Contact us and request our references.

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