A High-Quality Histology Analysis to Accelerate the Progress of Your Preclinical Pipeline
High-throughput slide analysis combining AI and conventional tools
- High-throughput slide imaging
- Multiplex immunofluorescence and RNAscope™ in CNS studies
- AI-based histopathological scoring using Gubra’s Histopathological Objective Scoring Technique (GHOST)
- Quantitative and qualitative histological analysis
- Applicable to all organ types in mice, rats, and beyond
Histology service workflow overview
AI-Powered Histopathology Scoring
Gubra Histopathological Objective Scoring Technology, GHOST, provides high reproducibility with a rapid turnaround time for your study.
Objective and consistent drug efficacy testing in preclinical models
Standardized scoring and objective assessment for:
- MASH: NAFLD activity score, fibrosis stage – Kleiner score and Ishak score
- IPF: Ashcroft score of pulmonary fibrosis
- CKD: Glomerulosclerosis
AI-powered precision of histopathological scoring provides:
- Reduced variability by minimizing both inter- and intra-observer inconsistencies
- Reproducible scoring across studies
- Enhanced reproducibility increases confidence in data, enabling more accurate evaluations.
Expression analysis of RNA, protein, or both molecules
- Fresh frozen or FFPE serial sectioning
- Multiplexed RNAscope™ for analysis of RNA expression
- Multiplexed protein detection via immunohistochemistry or immunofluorescence
- Co–detection of RNA and protein in the same section
- AI-assisted cell detection in areas of interest directed by expression profile
Obesity
White Adipose Tissue (WAT)
Follow adipose tissue changes with your therapy in our DIO mouse and rat models by following changes in white adipose tissue (WAT) with histological stains and IHC.
Adipocyte size and number (H&E)
Histological staining of white adipose tissue using H&E. Membranes and connective tissue are stained blue, while adipocytes appear green.
Inflammation (F4/80)
IHC staining of F4/80 for inflammation in white adipose tissue. Positive staining appears green, while adipose tissue is highlighted in red.
- Quanitfy of size and number of adipocytes in WAT with H&E stained FFPE slides.
- Detect WAT inflammation by immunohistochemical staining for F4/80, Gal3, CD11b, CD45, CD3, or CD20 markers.
Skeletal Muscle
Quantify sarcopenia development, myosteatosis, and muscle health in our DIO rodent models.
IHC staining of laminin to visualize skeletal muscle cross-sectional area (CSA). Positive staining appears green, while muscle fibers are highlighted in blue.
Intramyocellular lipid Oil red O (ORO)
Histological staining of skeletal muscle tissue using ORO. Green indicates lipid droplets within the muscle tissue, which appears yellow.
Histological staining of skeletal muscle tissue using H&E. Adipocytes are shown in green, while the overall tissue is stained blue.
- Utilize cross sectional analysis of laminin with IHC on FFPE sections to assess for sarcopenia.
- Identify lipid accumulation utilizing ORO or H&E to determine the lipid accumulation and intramuscular adipose tissue seen in myosteatosis.
- Assess muscle health (vascularization, glucose transport, or glycogen storage) with staining for CD31 and GLUT4 or utilize PAS staining.
Liver Tissue
Detect liver steatosis by H&E-stained macrovesicular lipid droplets and Oil Red O-stained microvesicular lipid droplets.
Macrovesicular liver steatosis (H&E)
Histological staining of liver tissue using H&E. Lipid droplets are highlighted in green.
Microvesicular liver steatosis Oil red O (ORO)
Histological staining of liver tissue using ORO. Lipid droplets are shown in green, while the surrounding liver tissue appears yellow.
MASH (Metabolic dysfunction-Associated Steatohepatitis)
AI-assisted scoring of NAFLD Activity Score
Determine the disease severity in our rodent models of MASH using GHOST to obtain an unbiased, clinically derived NAFLD activity score – a composite score of steatosis, lobular inflammation, and ballooning degeneration.
AI-Assisted Scoring of Fibrosis Stage
Identify the recovery of clinically derived fibrosis stage – both CRN and Ishak scoring – with GHOST in our MASH rodent models.
CKD (Chronic Kidney Disease)
Glomerulosclerosis Score
Our AI-assisted GHOST glomerulosclerosis scoring method offers unbiased, accurate, and automated glomerulosclerosis assessment in both mouse and rat models of CKD.
IPF (Idiopathic Pulmonary Fibrosis)
Histopathological-Modified Ashcroft Score
Modified Ashcroft scoring applied to the entire left lung in control (CTRL) and bleomycin-induced IPF (BLEO-IPF) mice. Ashcroft score is depicted using a heat map with a score of 0 being white and a score of 8 being red in individual lung image tiles.
- Our AI-powered platform, GHOST, evaluates idiopathic pulmonary fibrosis (IPF) with modified Ashcroft scoring. Leveraging deep learning algorithms, GHOST analyses lung tissue images, providing precise modified Ashcroft scores and minimizing inter-observer variability. This unique method accelerates pipelines and ensures standardized assessments across IPF studies.
IHC (Immunohistochemistry)
AI-assisted and conventional immunohistochemistry (IHC) image analysis methods enable efficient marker detection in all tissue types and many species.
Kidney fibrosis α-SMA
Quantification of α-SMA (brown, green) IHC staining, evaluating myofibroblast activation in the kidney.
Lung fibrosis Col1a1
IHC staining of Col1a1 in the lung. Quantification is performed by excluding large veins (yellow) from the analysis of positive signals (green).
For further information
Contact us
Gubra
Hørsholm Kongevej 11B
2970 Hørsholm, Denmark
+45 3152 2650