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Description

Choose two tailored cell groups by utilizing metadata to uncover their most significantly differentially expressed genes. Utilize the extensive collection of millions of cells from the integrated CZ CELLxGENE corpus for in-depth analysis. Conduct interactive examinations of datasets to investigate how gene expression patterns are influenced by spatial, environmental, and genetic variables through an intuitive no-code user interface. Gain insights into existing datasets or leverage them as a foundation to discover new cell subtypes and states. Census offers the capability to access any customized segment of standardized cell data available within CZ CELLxGENE, with opportunities for exploration in both R and Python. Delve into an interactive encyclopedia containing over 700 cell types that includes comprehensive definitions, marker genes, lineage information, and associated datasets all in one location. Additionally, you can browse and obtain hundreds of standardized data collections along with more than 1,000 datasets that detail the functionality of both healthy mouse and human tissues, enriching your research and understanding of cellular biology. This resource provides a valuable tool for researchers aiming to enhance their exploration of cellular dynamics and gene expression.

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

Screenshots View All

No images available

Integrations

Python Yes 
R Yes 

Integrations

Python No 
R No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 
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

CZ CELLxGENE

Country

United States

Website

cellxgene.cziscience.com

Vendor Details

Company Name

Lowkey Vision AS

Founded

2026

Country

Norway

Website

cellcount.ai

Product Features

Alternatives

Alternatives

No Alternatives
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