Microscopes function optimally with algorithm

According to Adrien Descloux, the École Polytechnique Fédérale de Lausanne ((EPFL) study lead author, they have discovered an algorithm that could help estimate resolutions of microscopes; this approach is beneficial for the emerging automated microscopes, whereby the settings are adjusted by a computer.  

The team of scientists at EPFL’s Laboratory of Nanoscale Biology, was headed by Aleksandra Radenovic in the School of Engineering. The algorithm can estimate a microscope’s resolution in just a few seconds based on a single image.

Microscopes have been instrumental in enabling researchers to view living tissues, proteins, and subcellular systems incredibly. This has been made possible as microscopes utilizing exceptional resolutions to predict fluorescent light radiated by various compounds.

Nevertheless, these resolutions can be distorted by distinctive fluorophore quantum aspects. For instance, a smaller resolution may be realized and this can distort a microscope’s image quality. 

This problem is set to be resolved through a comprehensive algorithm developed by EPFL researchers

Microscopes’ objectives evaluation

The EPFL algorithm to be utilized will have the potential of quickly evaluating a microscope’s resolution based on one image. As a result, the outcomes derived will be pivotal in showing the optimal functionality of a microscope.

Automated microscopes are expected to benefit maximally from this algorithm as they are being significantly embraced in research centers. 

The scientists utilized Fourier’s transform as the algorithm foundation. Additionally, it was customized to the extent that it could derive considerable information from one image. 

Descloux asserted that this approach is pivotal in enabling researchers to determine the maximum capacity and modifications of a microscope. 

Microscope’s image modality enhanced

On the other hand, Aleksandra Radenovic, a School of Engineering member, stipulated that the algorithm was multipurpose as it could be utilized in any form of imaging modality including super-resolution. 

He also noted that this approach was beneficial for the emerging automated microscopes, whereby the settings were adjusted by a computer. 

Radenovic also asserted the algorithm’s uniqueness as it was the first one to ever permit the estimation of a microscope’s resolution from one image as two images were required previously, and this presented various uncertainties.  

Algorithms have also been used in magnetic resonance to show brain wiring. Moreover, an AI algorithm is being developed so that audiobooks can mimic their authors’ voices.