Quantitative phase imaging with a standard microscope

Friday, 29 November, 2019

Quantitative phase imaging with a standard microscope

Researchers from the King Abdullah University of Science and Technology (KAUST) have shown how a standard microscope can be adapted to provide even more information, thanks to the use of an innovative optical component and a reconstruction algorithm. Their work has been published in the journal Scientific Reports.

In its simplest form, microscopy creates an image of an object by measuring the intensity of light passing through it. This requires a sample that scatters and absorbs light in different ways. Many living cells, however, absorb very little visible light, meaning that there is only a small difference between light and dark regions, known as the contrast. This makes it difficult to see the finer detail.

The light passing through the sample changes not only its intensity, but also its phase: the relative timing of the peaks in the optical wave. As explained by KAUST PhD student Congli Wang, “Phase-contrast microscopy converts phase into larger amplitude variations and hence allows the viewing of fine, detailed transparent structures.”

Measuring the phase of light is trickier than measuring its intensity. Most phase-contrast microscopes must include a component that converts the phase change to a measurable intensity change. But this conversion is not precise; it only approximates the phase information.

Wang and his colleagues from the KAUST Visual Computing Center have now developed a new method for quantitative phase and intensity imaging. Crucial to the performance of their microscope was an element known as a wavefront sensor. Wavefront sensors are custom-designed optical sensors that can encode the wavefront, or phase, information into intensity images.

The researchers designed an innovative high-resolution wavefront sensor and are now incorporating it into a commercial microscope to improve the performance of microscopy imaging. They then reconstructed the phase-contrast image using a computer algorithm they developed to numerically retrieved quantitative phase from an image pair: a calibration image obtained without the sample and a measurement image obtained with the sample in place.

Quantitative phase imaging enables researchers to detect geometry of small transparent samples with fine structures; for example, three-dimensional red blood cells (left) and a microlens array (right). Image ©2019 KAUST.

This approach streamlines several aspects of microscopy. While other methods have achieved quantitative phase imaging in the past, they have required expensive or complicated set-ups, specialised light sources or a long time to generate the image.

“Our method allows snapshot acquisition of high-resolution amplitude bright-field and accurate quantitative phase images via affordable simple optics, common white-light source and fast computations at video rates in real time,” said Professor Wolfgang Heidrich, who supervised the research. “It is the first time, to our knowledge, that all these advantages are combined into one technique.”

Top image: Quantitative phase images reveal more details than classical microscopy images. The KAUST technique captures both bright-field images (top) and phase images (bottom) in a single measurement. Image ©2019 KAUST.

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