AdipoGauge software for analysis of biological microscopic images.
Mohammad YosofvandSanka LiyanageNishan Sudheera KalupahanaShane ScogginNaima Moustaid-MoussaHanna MoussaPublished in: Adipocyte (2021)
Obesity is a complex disease of global epidemic proportions. Adipose tissue expansion and chronic low-grade inflammation, locally and systemically, are hallmark features of obesity. Obesity is associated with several other chronic diseases, which are also characterized by inflammation. Determination of adipocyte size and macrophage content in adipose tissue is a critical step in assessing changes in this tissue with obesity. Here, we introduce a complete standalone software package, AdipoGauge, to analyse microscopic images derived from haematoxylin and eosin (H&E)-stained and immunofluorescently stained histology sections of adipose tissue. The software package is a user-friendly application that does not require a vast knowledge of computer science or costly commercial tools. AdipoGauge includes analysing tools that are capable of cell counting and colour separation. Furthermore, it can quantify the cell data in images both with and without clear boundaries around the cells. It can also remove objects from the image that are not intended for analysis, such as blood vessels or partial cells at edges of slide sections. The simple and state-of-the-art graphical user interface requires minimal time and learning.
Keyphrases
- adipose tissue
- insulin resistance
- deep learning
- metabolic syndrome
- high fat diet
- high fat diet induced
- low grade
- weight loss
- induced apoptosis
- type diabetes
- weight gain
- oxidative stress
- convolutional neural network
- skeletal muscle
- single cell
- cell cycle arrest
- high grade
- optical coherence tomography
- healthcare
- public health
- data analysis
- physical activity
- stem cells
- electronic health record
- big data
- cell proliferation