Cardiac fibroblasts and mechanosensation in heart development, health and disease

M Pesce, GN Duda, G Forte, H Girao, A Raya… - Nature Reviews …, 2023 - nature.com
The term 'mechanosensation'describes the capacity of cells to translate mechanical stimuli
into the coordinated regulation of intracellular signals, cellular function, gene expression …

Reduction of cardiac fibrosis by interference with YAP-dependent transactivation

G Garoffolo, M Casaburo, F Amadeo, M Salvi… - Circulation …, 2022 - Am Heart Assoc
Background: Conversion of cardiac stromal cells into myofibroblasts is typically associated
with hypoxia conditions, metabolic insults, and/or inflammation, all of which are predisposing …

Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology

M Salvi, N Michielli, F Molinari - Computer methods and programs in …, 2020 - Elsevier
Background and objective The diagnosis of histopathological images is based on the visual
analysis of tissue slices under a light microscope. However, the histological tissue …

Cell segmentation-free inference of cell types from in situ transcriptomics data

J Park, W Choi, S Tiesmeyer, B Long, LE Borm… - Nature …, 2021 - nature.com
Multiplexed fluorescence in situ hybridization techniques have enabled cell-type
identification, linking transcriptional heterogeneity with spatial heterogeneity of cells …

Automated image segmentation method to analyse skeletal muscle cross section in exercise-induced regenerating myofibers

M Rahmati, A Rashno - Scientific reports, 2021 - nature.com
Skeletal muscle is an adaptive tissue with the ability to regenerate in response to exercise
training. Cross-sectional area (CSA) quantification, as a main parameter to assess muscle …

Automatic image annotation for fluorescent cell nuclei segmentation

F Englbrecht, IE Ruider, AR Bausch - PloS one, 2021 - journals.plos.org
Dataset annotation is a time and labor-intensive task and an integral requirement for training
and testing deep learning models. The segmentation of images in life science microscopy …

Image-based method to quantify decellularization of tissue sections

M Narciso, J Otero, D Navajas, R Farré… - International journal of …, 2021 - mdpi.com
Tissue decellularization is typically assessed through absorbance-based DNA quantification
after tissue digestion. This method has several disadvantages, namely its destructive nature …

Viability fingerprint of glioblastoma cell lines: Roles of mitotic, proliferative, and epigenetic targets

D Lavogina, T Laasfeld, M Vardja, H Lust, J Jaal - Scientific Reports, 2021 - nature.com
Despite the use of multimodal treatment combinations, the prognosis of glioblastoma (GB) is
still poor. To prevent rapid tumor recurrence, targeted strategies for the treatment of GB are …

[HTML][HTML] A comprehensive review of computational and image analysis techniques for quantitative evaluation of striated muscle tissue architecture

TA Morris, S Eldeen, RDH Tran, A Grosberg - Biophysics Reviews, 2022 - pubs.aip.org
Unbiased evaluation of morphology is crucial to understanding development, mechanics,
and pathology of striated muscle tissues. Indeed, the ability of striated muscles to contract …

Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma

M Salvi, F Molinari, N Dogliani, M Bosco - Computers in Biology and …, 2019 - Elsevier
Background and objectives In breast carcinoma, epithelial–stromal interactions play a
pivotal role in tumor formation and progression, and it must be accurately assessed for a …