Why Prism Cameras Are Transforming Medical and Life Sciences

Common medical and life sciences applications – Courtesy JAI

Medical and life science imaging applications are doing ever more challenging applications. This is partly due to evolving technology and what that enables. And of course also to applications ingenuity.

These applications continue to push the need for:

  • Improved image quality
  • Better color accuracy
  • Higher sensitivity
  • More reliable data for AI and diagnostics

Key takeaway:

Prism-based cameras overcome many of the limitations of traditional Bayer color cameras by capturing true color information without interpolation.

Brief review of Bayer color interpolation

A Bayer filter “color” camera uses a monochrome sensor fitted with a Bayer filter, outputting color image derived through interpolation. Interpolation is a form of approximation – some precision is lost.

Please chase that Wikipedia link above if you want the full tutorial on the Bayer filter approach. It was and remains a very clever and effective technique for color imaging that works effectively for the vast majority of color applications. But not all…

Per the Wikipedia article, downsides of the Bayer approach can include artefacts like Moiré patterns, false color, and/or zippering.

If you are pushing the envelope of precision high-resolution color imaging, to innovate a new application or to stay ahead of your competition, you may want to consider prism-based color cameras, for better color accuracy and improved image quality.

Courtesy JAI

Representative applications that may benefit:

  • Digital pathology
  • Microscopy
  • Cell analysis
  • Histology
  • Pharmaceutical inspection
  • Medical device inspection

How prism cameras work

Incoming light passes through a dichroic prism, which splits the light into separate color channels directed onto individual monochrome sensors. The optical path through the lens and up until reaching the prism is identical, to insure pixel alignment.

Courtesy JAI

Benefits:

  • True RGB at every pixel (no interpolation)
  • Superior color accuracy
  • Better spatial resolution
  • Improved repeatability

Already intrigued? Prefer to just speak about it? Call us at 978-474-0044 for expert assistance. Or briefly describe your application in the form linked below and request a callback:

What color prism cameras are available?

JAI Apex prism-based color cameras are available with interfaces ranging over USB3, GigE, 5GigE, Camera Link, 10GigE, and CoaXpress.

JAI Apex prism-based color camera with USB interface – Courtesy JAI

Why Prism Technology Excels in Microscopy

  • Better color accuracy
  • Differentiation of stains and dyes
  • Improved visualization of cellular structures
  • Improved quantitative analysis

Digital pathology requires precise color images, aiding in the differentiation of stains and dyes; and to visualize structures.

Courtesy JAI.

Fluorescence microscopy helps make specific proteins and compounds observable. Prism cameras ensure even subtle changes are identifiable.

Courtesy JAI.

Surgical Imaging and NIR Fluorescence

Now let’s take it up a level. While not restricted to surgical navigation, either robotic or conventional, it’s clear that real-time surgical navigation is mission critical. Tissue differentiation is essential.

Consider the benefits of not just precision color, as discussed above, but the added benefit of NIR, from the same optical path and at the same position. A four-sensor prism-based camera can do exactly that. So the surgeon (whether human or robotic) may compare a color image to an NIR image in the same orientation and moment, to achieve tissue differentiation.

By virtue of using both VIS and NIR portions of the spectrum, such a camera is considered multi-spectral.

Consider the JAI Fusion family of prism cameras, utilizing GigE and 10GigE interfaces to deliver high frame rate multispectral images with RGB and NIR.

Rear and front views of one member of the JAI Fusion series – Courtesy JAI

Multispectral applications

Below we see that a 4 sensor camera (R, G, B, and NIR) permits a single camera to deliver pixel level information across multiple spectra, without requiring pixel-matching in software. This example happens to be in fruit sorting.

Courtesy JAI

Another food sorting example:

In the potato sorting application below, visible light may be helpful for some aspects of inspection, but NIR identifies defects that VIS doesn’t see. A prism-based multispectral camera adds clear value.

Courtesy JAI

1stVision’s Knowledge Base has TechBriefs on camera and sensor selection, lighting, filters, optics, and so forth. And we’re always happy to advise by phone 978-474-0044 or via our inquiry form.


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