Achieving Your Study Goals with X-ray Imaging: kV and μA

Streamlining Research with Pre- and Post-Imaging Processing

Choosing a preclinical X-ray system with image-enhancing, pre- and post-image processing ability ensures that images are automatically optimized based on the characteristic density of the sample.

One-Click Imaging with Automatic Exposure Control (AEC)

All KUBTEC® Scientific instruments feature Automatic Exposure Control (AEC) built into our standard DIGICOM software.

• The Benefit: When imaging a novel sample, AEC automatically sets parameters based on a quick "scout" image.
• The Result: 1-click imaging that allows for significantly faster throughput.

While AEC is powerful, manual optimization empowers users to fine-tune visual information to meet specific research goals.

Manual Image Optimization: Understanding Key X-ray Principles

KUBTEC systems allow for easy manual adjustments. To achieve the ideal level of detail and contrast, it is essential to understand the three primary variables: kV, μA, and magnification. In this guide, we focus on the relationship between kV and μA.

1. Kilovoltage (kV): Managing Energy and Penetration

Kilovoltage (kV) refers to the energy of the photons being emitted. It dictates the penetrative capacity of the X-ray beam.

General Rule for kV Adjustments:

• Increase kV: For samples with higher density or thickness.
• Decrease kV: For samples with lower density or thinner profiles.

Solving Exposure Issues:

• Over-exposed (Too Bright): If you are losing detail in thin areas, lowering the kV will help capture that lost information.
• Under-exposed (Too Dark): If the beam isn't penetrating the sample, raising the kV increases penetration for denser areas of interest.

2. Microamperes (μA): Controlling Photon Quantity and Noise

Milliamperes (mA) or Microamperes (μA) refers to the electrical current, which determines the number of photons being emitted.

• In Specifications: Measured in milliamperes (mA).
• In Practice: For high-precision imaging, changes are measured in microamperes (μA).

Impact on Image Quality:

Changing the μA directly affects the contrast and background noise of an image. If your image suffers from excessive "grain" or background noise, decreasing the μA can help clean up the visual data.

Best Practices for Image Optimization

The Single-Variable Rule

When optimizing, change only one variable at a time (either kV or μA). This is the most effective way to isolate results and determine the perfect parameters for a specific sample type.

Efficiency Through Imaging Presets

Once you have dialed in the perfect settings for a specific study, you can save them as Imaging Presets. This allows you to recall those exact parameters with a single click for future samples.

‍