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norskBrowsing by Author "Acuna Maldonado, Sebastian Andres"
Now showing items 1-5 of 5
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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-03)The quantitative analysis of subcellular organelles such as mitochondria in cell fluorescence microscopy images is a demanding task because of the inherent challenges in the segmentation of these small and morphologically diverse structures. In this article, we demonstrate the use of a machine learning-aided segmentation and analysis pipeline for the quantification of mitochondrial morphology in ... -
Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-24)Histology involves the observation of structural features in tissues using a microscope. While diffraction-limited optical microscopes are commonly used in histological investigations, their resolving capabilities are insufficient to visualize details at subcellular level. Although a novel set of super-resolution optical microscopy techniques can fulfill the resolution demands in such cases, the ... -
Deriving high contrast fluorescence microscopy images through low contrast noisy image stacks
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-08-11)Contrast in fluorescence microscopy images allows for the differentiation between different structures by their difference in intensities. However, factors such as point-spread function and noise may reduce it, affecting its interpretability. We 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 ... -
Multiple Signal Classification Algorithm: A computational microscopy tool for fluorescence microscopy
(Doctoral thesis; Doktorgradsavhandling, 2023-12-11)Fluorescence Microscopy is still the most preferred tool for studying the cell's inner structures. One of the reasons for this preference is its great selectivity, which allows it to label specific types of structures and visualize them with high contrast. However, its resolution is conventionally limited due to the diffraction of light, which makes the study of cells at scales below 200 nm challenging. ... -
Scalable-resolution structured illumination microscopy
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-15)Structured illumination microscopy suffers from the need of sophisticated instrumentation and precise calibration. This makes structured illumination microscopes costly and skill-dependent. We present a novel approach to realize super-resolution structured illumination microscopy using an alignment non-critical illumination system and a reconstruction algorithm that does not need illumination ...
