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HALO® Module

Muscle Fiber

The Muscle Fiber module detects fibers and reports the total count of muscle fibers as well as the perimeter, area, and diameter of each fiber.

Since muscle fiber cross-sections are irregularly shaped, the algorithm uses patent pending image processing techniques to detect each fiber’s minimum diameter (green lines) and maximum diameter (blue lines). Finally the software reports the diameter (average/minimum/maximum), the average perimeter length, and the average fiber area for all fibers in the entire section.

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)
  • DICOM (DCM*)
    *whole-slide images

Publication Spotlight

The table below includes publications that cite the Muscle Fiber and Muscle Fiber FL modules. 

Your publication not on the list?  Drop us an email to let us know about it!

Title Authors Year Journal Application HALO Modules
The Goto Kakizaki rat: Impact of age upon changes in cardiac and renal structure, function Meagher P, Civitarese R, Lee X, Gordon M, Bugyei-Twum A, Desjardins J, Kabir G, Zhang Y, Kosanam H, Visram A, Leong-Poi H, Advani A, Connelly K 2021 PLOS ONE Myology Muscle Fiber
A growth factor–expressing macrophage subpopulation orchestrates regenerative inflammation via GDF-15 Patsalos A, Halasz L, Medina-Serpas M, Berger W, Daniel B, Tzerpos P, Kiss M, Nagy G, Fischer C, Simandi Z, Varga T, Nagy L 2021 Journal of Experimental Medicine Muscle Fiber
Low immunogenicity of LNP allows repeated administrations of CRISPR-Cas9 mRNA into skeletal muscle in mice Kenjo E, Hozumi H, Makita Y, Iwabuchi K, Fujimoto N, Matsumoto S, Kimura M, Amano Y, Ifuku M, Naoe Y, Inukai N, Hotta A 2021 Nature Communications Other Muscle Fiber
Inhibition of myostatin prevents microgravity-induced loss of skeletal muscle mass and strength Smith RC, Cramer MS, Mitchell PJ, Lucchesi J, Ortega AM, Livingston EW, Ballard D, Zhang L, Hanson J, Barton K, Berens S, Credille KM, Bateman TA, Ferguson VL, Ma YL, Stodieck LS 2020 PLOS One Myology Muscle Fiber
Dynamic changes to lipid mediators support transitions among macrophage subtypes during muscle regeneration Giannakis N, Sansbury BE, Patsalos A, Hays TT, Riley CO, Han X, Spite M, Nagy L 2019 Nature Immunology Immunology, Myology Muscle Fiber
Development of antibody-siRNA conjugate targeted to cardiac and skeletal muscles Sugo T, Terada M, Oikawa T, Miyata K, Nishimura S, Kenjo E, Ogasawara-Shimizu M, Makita Y, Imaichi S, Murata S, Kentaro Otaka, Kikuchi K, Teratani M, Masuda Y, Kamei T, Takagahara S, Ikeda S, Ohtaki T, Matsumoto H 2016 The Journal of Controlled Release Myology Cytonuclear, Muscle Fiber
Myostatin blockade with a fully human monoclonal antibody induces muscle hypertrophy and reverses muscle atrophy in young and aged mice Latres E, Pangilinan J, Miloscio L, Bauerlein R, Na E, Potocky TB, Huang Y, Eckersdorff M, Rafique A, Mastaitis J, Lin C, Murphy AJ, Yancopoulos GD, Gromada J, Stitt T 2015 Skeletal Muscle Myology Muscle Fiber
Peripheral androgen receptor gene suppression rescues disease in mouse models of spinal and bulbar muscular atrophy Lieberman AP, Yu Z, Murray S, Peralta R, Low A, Guo S, Yu XX, Cortes CJ, Bennett CF, Monia BP, La Spada AR, Hung G 2014 Cell Reports Myology Muscle Fiber

Related HALO Module

Tissue Classifier Add-On

Separate multiple tissue classes across a tissue using a learn-by-example approach. Can be used in conjunction with all other modules (fluorescent and brightfield) to select specific tissue classes for further analysis.

Learn More
Muscle Fiber FL

Quantify expression of up to five brightfield stains in any cellular compartment - membrane, nucleus or cytoplasm.

Learn More
Highplex FL

Quantify expression of an unlimited number of biomarkers in any cellular compartment - membrane, nucleus or cytoplasm.

Learn More

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