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Average Ratings 0 Ratings
Description
Delve into a vast collection of meticulously curated single-cell transcriptome datasets, as well as your own, using dynamic visualizations and analytical tools. This software is versatile, accommodating multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomics. Engage with the most extensive single-cell expression database globally, where you can access and extract insights from a repository featuring millions of fully annotated cells complete with cell type labels and experimental metadata. Beyond merely serving as a conduit to published research, BioTuring Browser functions as a comprehensive end-to-end solution tailored for your specific single-cell data needs. Easily import your fastq files, count matrices, or Seurat and Scanpy objects to uncover the biological narratives contained within. With an intuitive interface, you can access an extensive array of visualizations and analyses, transforming the process of extracting insights from any curated or personal single-cell dataset into a seamless experience. Additionally, the platform allows for the importation of single-cell CRISPR screening or Perturb-seq data, enabling users to query guide RNA sequences with ease. This functionality not only enhances research capabilities but also facilitates the discovery of novel biological insights.
Description
CellCount is an online application designed for cell counting in laboratories that utilize hemocytometers or automated cell counter images. The program processes images captured by microscope cameras or smartphones to identify the chamber grid and accurately count both live and dead cells through the trypan blue exclusion method. In instances where the grid is not automatically recognized, users have the option to manually designate the crossings. The outcomes provided by the application encompass cell viability, adjusted dilution cell concentration per milliliter, and a histogram reflecting cell sizes. Users can review detected cells as they are highlighted on the images, with the capability to add or remove detections, alter classifications, and confirm the final count. Additionally, protocols that are shared allow laboratories to save important settings such as dilution rates, square selections, sensitivity levels, and cell size parameters. Teams benefit from maintaining dated records of their samples, the ability to export comprehensive reports and image collections, and the means to authenticate accepted records through a SHA-256 hash. Ultimately, CellCount caters to the needs of research and biotechnology laboratories that work with various cell types, including cell lines, primary cells like PBMCs, and yeast, ensuring a versatile tool for cell analysis.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Python
No
R
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$0
Free plan: 180 images per month, shared by up to 3 team members; no payment card or end date required. Counted images may be used to improve the service, including its models.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
BioTuring Browser
Country
United States
Website
bioturing.com/bbrowser
Vendor Details
Company Name
Lowkey Vision AS
Founded
2026
Country
Norway
Website
cellcount.ai
Product Features
Product Features
Alternatives
Alternatives
No Alternatives