Publications by authors named "Maximilian W D Raas"

3 Publications

  • Page 1 of 1

Whole slide imaging is a high-throughput method to assess Candida biofilm formation.

Microbiol Res 2021 Sep 10;250:126806. Epub 2021 Jun 10.

Laboratory of Cellular Biology, Department of Biology, ICB, Federal University of Juiz de Fora, UFJF, Juiz de Fora, MG, Brazil. Electronic address:

New strategies that enable fast and accurate visualization of Candida biofilms are necessary to better study their structure and response to antifungals agents. Here, we applied whole slide imaging (WSI) to study biofilm formation of Candida species. Three relevant biofilm-forming Candida species (C. albicans ATCC 10231, C. glabrata ATCC 2001, and C. tropicalis ATCC 750) were cultivated on glass coverslips both in presence and absence of widely used antifungals. Accumulated biofilms were stained with fluorescent markers and scanned in both bright-field and fluorescence modes using a WSI digital scanner. WSI enabled clear assessment of both size and structural features of Candida biofilms. Quantitative analyses readily detected reductions in biofilm-covered surface area upon antifungal exposure. Furthermore, we show that the overall biofilm growth can be adequately assessed across both bright-field and fluorescence modes. At the single-cell level, WSI proved adequate, as morphometric parameters evaluated with WSI did not differ significantly from those obtained with scanning electron microscopy, considered as golden standard at single-cell resolution. Thus, WSI allows for reliable visualization of Candida biofilms enabling both large-scale growth assessment and morphometric characterization of single-cell features, making it an important addition to the available microscopic toolset to image and analyse fungal biofilm growth.
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http://dx.doi.org/10.1016/j.micres.2021.126806DOI Listing
September 2021

Overcoming epigenetic roadblocks.

Nat Chem Biol 2021 01;17(1):6-7

Department of Molecular Biology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University, Nijmegen, the Netherlands.

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http://dx.doi.org/10.1038/s41589-020-0629-3DOI Listing
January 2021

Whole Slide Imaging and Its Applications to Histopathological Studies of Liver Disorders.

Front Med (Lausanne) 2019 8;6:310. Epub 2020 Jan 8.

Laboratory of Cellular Biology, Department of Biology, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Histological analysis of hepatic tissue specimens is essential for evaluating the pathology of several liver disorders such as chronic liver diseases, hepatocellular carcinomas, liver steatosis, and infectious liver diseases. Manual examination of histological slides on the microscope is a classically used method to study these disorders. However, it is considered time-consuming, limited, and associated with intra- and inter-observer variability. Emerging technologies such as whole slide imaging (WSI), also termed virtual microscopy, have increasingly been used to improve the assessment of histological features with applications in both clinical and research laboratories. WSI enables the acquisition of the tissue morphology/pathology from glass slides and translates it into a digital form comparable to a conventional microscope, but with several advantages such as easy image accessibility and storage, portability, sharing, annotation, qualitative and quantitative image analysis, and use for educational purposes. WSI-generated images simultaneously provide high resolution and a wide field of observation that can cover the entire section, extending any single field of view. In this review, we summarize current knowledge on the application of WSI to histopathological analyses of liver disorders as well as to understand liver biology. We address how WSI may improve the assessment and quantification of multiple histological parameters in the liver, and help diagnose several hepatic conditions with important clinical implications. The WSI technical limitations are also discussed.
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http://dx.doi.org/10.3389/fmed.2019.00310DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960181PMC
January 2020