Track-and-trace method predicts best possible resolution in microscopy

Track-and-trace method predicts best possible resolution in microscopy
Pattern position control strategy (see Eq. 5) to iteratively increase information content of signal photons. (a) Example of one period of a sinusoidal intensity pattern in the x-direction, with the intensity minimum centered at a global phase zero. (b) Individual illumination patterns placed during iteration 2. In each iteration, four sinusoidal illumination patterns are placed, such that current estimate of the emitter position is enclosed between the illumination minima of the patterns. (c) Summed illumination patterns over the course of three iterations. The distance between the intensity minimum of the summed patterns and the emitter position reduces iteratively as a result of adjusting the search region based on prior information about the achieved precision in the previous iteration. (d) Expected signal photon response from the emitter in (b) and (c) over the course of three iterations, using the illumination placement from (c). (e) Illustration of the expected signal photon budget for one, two, and three iterations. Two scenarios are considered in this article, namely the case where the signal photon count is kept constant over the course of all iterations and the case where the imaging time and illumination intensity are kept constant over the course of all iterations. In the latter case, the signal photon budget is only exhausted by imeSMLM in case the single emitter is illuminated with maximum intensity during all iterations. If the intensity pattern minima are placed close to the emitter, a reduced number of photons is recorded within the same time window. Credit: Biophysical Journal (2022). DOI: 10.1016/j.bpj.2022.05.027

TU Delft scientists provide insight into the limitations of super-resolution microscopy and offer a new calculation method to determine maximum resolution. The technology is important for studying processes in the living cell, discovering the origin of diseases and developing new medicines. Their findings were published in the Biophysical Journal.

In 2019, researchers from Delft had already given the field of super-resolution a considerable boost by improving the precision of the technique about twofold. Now they have published a scientific article that points out the fundamental limitations of super-resolution microscopy. "We also provide a method for other researchers to help them make more informed choices," says Delft Ph.D. student and first author of the publication, Dylan Kalisvaart.

The researchers, led by Carlas Smith, lay new foundations for the super-resolution method called iterative single-molecule localization microscopy. They use illumination patterns to zoom in on individual . To do so, they use results from previous experiments to place the patterns closer and closer to molecules. This makes it possible to increase the sharpness of the image exactly where the molecules are.

Kalisvaart, researcher at the Delft Center for Systems and Control, explains: "We show (with the so-called Van Trees inequality) that resolution improvements can be attributed to prior knowledge obtained from previous experiments. This enables us to demonstrate what the practical settings of a microscope should be, given the circumstances and prior knowledge, in order to achieve the best result."

Super-resolution microscopy

Super-resolution microscopy is a groundbreaking technology that allows researchers to look inside living cells. The technique uses luminescent proteins that can be found in jellyfish, for example. In 2008, three top researchers were awarded the Nobel Prize in Chemistry for the discovery and development of this luminescent protein, called GFP (Green Fluorescent Protein). Researchers can attach these fluorescent proteins to molecules using gene editing. When you shine a laser on these proteins, they emit a small amount of light.

Single molecule localization microscopy (SMLM) ensure that molecules are randomly switched on or off. Sensitive sensors make a video of these light signals, after which researchers analyze the data obtained. This enables them to determine the location of the molecules very precisely and to make a reconstruction of the cell structure. With an ordinary optical microscope, you can make images at a scale of about half a micron. Super-resolution microscopy increases this ability by a factor of ten.

Development of super-resolution microscopy

The field of super-resolution microscopy has developed rapidly over the past decade. In 2014, three researchers received the Nobel Prize in Chemistry for what came to be known as super-resolution microscopy. One of the three winners was German researcher Stefan Hell. Researchers from Hell's lab argued in 2020 that iterative single-molecule localization microscopy would vastly improve resolution. The scientists from TU Delft now show that these major resolution improvements are virtually unattainable in practice.

Kalisvaart: "In a practical situation, the best you can hope for is an improvement of about five times compared to the standard technique. The field largely assumed that there was much greater potential. We have now looked at this problem for the first time using a different mathematical (Bayesian) approach and have shown that the resolution improvements of Hell's group are difficult to achieve in practice."

Will people see the publication in Biophysical Journal primarily as a setback? "I don't see it that way," says Carlas Smith, Kalisvaart's supervisor. "It's essential that the underlying science is solid. If there's something wrong with the structure, then you have to go back to ground level to rebuild the foundation."

More information: Dylan Kalisvaart et al, Precision in iterative modulation enhanced single-molecule localization microscopy, Biophysical Journal (2022). DOI: 10.1016/j.bpj.2022.05.027

Journal information: Biophysical Journal

Citation: Track-and-trace method predicts best possible resolution in microscopy (2022, June 22) retrieved 11 December 2023 from
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