The Microglial Activation module measures microglia cell activation in brightfield images. This module detects microglia, soma, and processes, and ultimately reports the number of activated microglial cells, the number of inactivated microglial cells, and the number of negative (non-microglia) cells detected. In addition to cell classification and counting, this tool precisely measures cell processes. It reports the total process area and length, as well as the average process area, length, and thickness, and quantifies process branching by counting the number of branch points and end points per cell. The interactive markup output option enables users to easily interpret and interrogate data.
File formats supported by the HALO image analysis platform:
- Non-proprietary (JPG, TIF, OME.TIFF)
- Nikon (ND2)
- 3D Histech (MRXS)
- Akoya (QPTIFF, component TIFF)
- Olympus / Evident (VSI)
- Hamamatsu (NDPI, NDPIS)
- Aperio (SVS, AFI)
- Zeiss (CZI)
- Leica (SCN, LIF)
- Ventana (BIF)
- Philips (iSyntax, i2Syntax)
- KFBIO (KFB, KFBF)
- DICOM (DCM*)
*whole-slide images
Publication Spotlight
The table below includes publications that cite the Microglial Activation modules.
Your publication not on the list? Drop us an email to let us know about it!
| Title | Authors | Year | Journal | Application | HALO Modules |
|---|---|---|---|---|---|
| Traumatic Brain Injury Leads to Alterations in Contusional Cortical miRNAs Involved in Dementia | Naseer S, Abelleira-Hervas L, Savani D, de Burgh R, Aleksynas R, Donat C, Syed N, Sastre M | 2022 | Biomolecules | Neuroscience | Microglia |
| Diverse human astrocyte and microglial transcriptional responses to Alzheimer’s pathology | Smith A, Davey K, Tsartsalis S, Khozoie C, Fancy N, Tang S, Liaptsi E, Weinert M, McGarry A, Muirhead R, Gentleman S, Owen D, Matthews P | 2021 | Acta Neuropathologica | Neuroscience | Area Quantification, Multiplex IHC, Microglia |
| T Cells Limit Accumulation of Aggregate Pathology Following Intrastriatal Injection of α-Synuclein Fibrils | George S, Tyson T, Rey N, Sheridan R, Peelaerts W, Becker K, Schulz E, Meyerdirk L, Burmeister A, von Linstow C, Steiner J, Galvis M, Ma J, Pospisilik J, Labrie V, Brundin L, Brundin P | 2021 | Journal of Parkinson's Disease | Immunology, Neuroscience | Microglia |
| Immune evasion before tumour invasion in early lung squamous carcinogenesis | Mascaux C, Angelova M, Vasaturo A, Beane J, Hijazi K, Anthoine G, Rothe F, Willard-Gallo K, Haller A, Ninane V, Burny A, Sculier J-P, Spira A, Galon J | 2019 | Nature | Oncology, Immuno-oncology | Microglia |
| Age-related pathology after adenoviral overexpression of the leucine-rich repeat kinase 2 in the mouse striatum | Kritzingerab A, Ferger B, Gillardon F, Stierstorfer B, Birk G, Kochanek S, Ciossek T | 2018 | Neurobiology of Aging | Neuroscience | Area Quantification, Object Colocalization, Microglia |
Related HALO Modules
Count one or two fluorescently labeled objects and measures the object area, diameter, stain intensity, and colocalization (where applicable). Microvessel and amyloid plaque quantification are most common applications.
Learn More
Count one or two objects and measure the object area, diameter, stain intensity, and colocalization (where applicable). Microvessel and amyloid plaque quantification are most common applications.
Learn More
Quantify microglial activation in fluorescence based on detection of microglia, soma, and processes, by counting branch points, and by determining area, length, and thickness of processes.
Learn MoreWant to Learn More?
Fill out the form below to request information about any of our software products.
You can also drop us an email at info@indicalab.com