Indica
Backed by cutting edge technology, an uncompromising focus on ease-of-use and dedicated customer service, Indica Labs’ software and services are being used to make vital discoveries in pathology labs and research organizations around the world.

Vacuole Quantification

VACUOLE QUANTIFICATION

 

Product Overview

The Vacuole Quantification module is a multi-purpose module that can be used for quantifying the number and size of white spaces in tissue. Typical applications are lipids in brown and white adipose tissue, lipid droplets in liver tissue (steatosis), and alveoli area in lung.

In the example above, the module was used to analyze an H&E stained fatty mouse liver. The nuclei are marked blue and the lipid vacuoles are marked red. The module reports total vacuole area, average vacuole area, diameter, perimeter, and total vacuole count. The module also generates a histogram representing the frequency of lipid vacuoles within a specified diameter range.

The vacuole module integrates seamlessly into the HALO™ platform which is compatible with a number of third party systems and  file formats.

Contact info@indicalab.com for product demonstration and pricing information or upload some images for a free trial.

VACUOLE QUANTIFICATION

The Vacuole Quantification module is a multi-purpose module that can be used for quantifying the number and size of white spaces in tissue. Typical applications are lipids in brown and white adipose tissue, lipid droplets in liver tissue (steatosis), and alveoli area in lung.

In the example above, the module was used to analyze an H&E stained fatty mouse liver. The nuclei are marked blue and the lipid vacuoles are marked red. The module reports total vacuole area, average vacuole area, diameter, perimeter, and total vacuole count. The module also generates a histogram representing the frequency of lipid vacuoles within a specified diameter range.

HALO is compatible with a broad spectrum of image and digital slide formats.  Yours not on the list? Email us your requirements.

Non-proprietary (JPG, TIF)
Nikon (ND2)
3D Histech (MRXS)
Perkin Elmer (QPTIFF, component TIFF)
Olympus (VSI)
Hamamatsu (NDPI, NDPIS)
Aperio (SVS, AFI)
Zeiss (CZI)
Leica (SCN, LIF)
Philips (Requires Philips IMS)

Here are a few publications that cite the use of our Vacuole Quantification module. Your publication not on the list?  Drop us an email to let us know about it!

TitleAuthorsYearJournalApplicationHALO Modules
Accelerated phosphatidylcholine turnover in macrophages promotes adipose tissue inflammation in obesity Petkevicius K, Virtue S, Bidault G, Jenkins B, Cubuk C, Morgantini C, Aouadi M, Dopazo J, Serlie M, Koulman A, Vidal-Puig A2019bioRxivClassifier, Vacuole
A suboptimal maternal diet combined with accelerated postnatal growth results in an altered aging profile in the thymus of male rats Tarry-Adkins JL, Aiken CE, Ashmore TJ, Fernandez-Twinn DS, Chen J-H, Ozanne SE2018The FASEB JournalNeuroscience, MetabolismClassifier, Vacuole
Phenotypic characterization of Adig null mice suggests roles for adipogenin in the regulation of fat mass accrual and leptin secretionAlvarez-Guaita A, Patel S, Lim K, Haider A, Dong L, Conway OJ, Ma MKL, Chiarugi D, Saudek V, O'Rahilly S, Savage DB2021Cell ReportsMetabolismVacuole
Breast adipocyte size associates with ipsilateral invasive breast cancer risk after ductal carcinoma in situAlmekinders MMM, Schaapveld M, Thijssen B, Visser LL, Bismeijer T, Sanders J, Isnaldi E, Hofland I, Mertz M, Wessels LFA, Broeks A, Hooijberg E, Zwart W, Lips EH, Grand Challenge PRECISION Consortium, Desmedt C, Wesseling J2021npj Breast CancerOncologyVacuole

Use the form below to upload up to three images for us to analyze using HALO.  If the form does not display, please click here.