Good news! A paper written by members of our group has been accepted in Biomedical Optics Express. The work is called “Deriving high contrast fluorescence microscopy images through low contrast noisy image stacks” and presents a new approach to produce a high contrast image using noisy data. The main authors are Sebastian Acuña and Mayank Roy. This is a collaborative work between UiT Norway and Indian School of Mines, IIT Dhanbad India.
Department of Physics and Technology UiT Tromsø, Norway: Luis E. Villegas-Hernández, Vishesh K. Dubey, Balpreet Singh Ahluwalia and Krishna Agarwal.
Indian School of Mines, IIT Dhanbad India: Mayank Roy
In this work, the authors were able to derive high contrast fluorescence microscopy images through low contrast noisy image stacks. The contrast in fluorescence microscopy images allows to differentiate between different structures by their difference in intensities. However, factors such as point-spread function and noise may reduce it, affecting its interpretability. Authors identified that fluctuation of emitters in a stack of images can be exploited to achieve increased contrast when compared to the average and Richardson-Lucy deconvolution. Authors tested their methods on four increasingly challenging samples including tissue, in which case results were comparable to the ones obtained by structured illumination microscopy in terms of contrast.
Congratulations to Sebastian, Mayank, and the whole team!