OnCellCounter is a web-based cell counter tool that provides cell counting and cell viability analysis for user-uploaded images. Developed by Logos Biosystems, a company specializing in automated cell counters, OnCellCounter delivers accurate and reliable cell counting results.
Using OnCellCounter is easy and involves just three simple steps:
Click the “Open” button at the top of OnCellCounter to upload the image you want to use for cell counting. OnCellCounter supports most image formats. If you are unable to upload the image, try renaming the file using only English letters and numbers, then upload it again.
Click the “Rectangle” button at the top of OnCellCounter and mark a representative cell in the image. Use the mouse scroll to zoom in or out on the image. For best results, ensure the rectangular boundary closely follows the exact outline of the selected cell. If the rectangle is too large or small, the counting results may be inaccurate.
Click the “Count” button to perform cell counting.
OnCellCounter allows users to optimize protocols for more accurate cell counting results. The protocol in OnCellCounter consists of five parameters: Min. and Max. Search Size, Cell Detection Sensitivity, Live Cell Sensitivity, and Noise Reduction.
The Min. Search Size refers to the smallest cell size that OnCellCounter will attempt to detect in an image. Unlike size gating, which filters out cells based on specific size, the Min. Search Size represents an “approximate” cell size used to screen cell-like objects. As a result, cells slightly smaller than the Min. Search Size may still be counted.
When you use the Rectangle tool to mark a cell, the Min. Search Size is automatically set based on the marked cell. However, you can adjust this value manually to optimize cell detection if needed.
The Max. Search Size refers to the largest cell size that OnCellCounter will attempt to detect in an image. Similar to the Min. Search Size, the Max. Search Size is not a size gating parameter but rather an approximate cell size used as a reference for identifying cells.
When you use the Rectangle tool to mark a cell, the Max. Search Size is automatically set based on the marked cell. However, you can manually adjust this value to set a limit the size of largest objects to be detected.
The Cell Detection Sensitivity parameter can be adjusted to either detect more cells or exclude unwanted objects. Increasing the sensitivity allows OnCellCounter to identify more objects as cells, while lowering the sensitivity applies stricter conditions for cell detection.
Additionally, increasing the sensitivity enhances declustering, making it more effective at separating clustered cells.
If the desired cells are not being detected properly, consider increasing the sensitivity value.
The image is from a validation slide for automated cell counters (Cat# L72041, Logos Biosystems), featuring a printed pattern of regular live and dead cells. The dust present in the center of the image has distinct features that differentiate it from the background, causing it to be detected as a dead cell under the default protocol settings. In this case, you can lower the Cell Detection Sensitivity to exclude the dust from being identified as a cell.
Live Cell Sensitivity is a parameter used to distinguish between live and dead cells. Increasing this value increases the number of live cells detected, while decreasing it reduces the number of live cells identified.
Noise Reduction is used to include or exclude faint objects present in the background of an image. Lowering the noise reduction setting allows OnCellCounter to include more faint objects. Conversely, increasing the noise reduction setting excludes faint objects such as cell debris.
If you’re looking for a more advanced automated cell counter, please visit www.logosbio.com.
Free Usage
OnCellCounter is a free online cell counter tool designed for users to upload images and perform cell counting and viability analysis. Users can access and use OnCellCounter for free, regardless of their affiliation with schools, government institutions, or private companies.
Accuracy Disclaimer
OnCellCounter is designed to provide accurate and reliable results; however, the accuracy of the analysis may vary depending on factors such as image quality and user settings.
Logos Biosystems does not guarantee the accuracy, completeness, or reliability of the results generated by this tool.
User Responsibility
Users are solely responsible for interpreting and utilizing the results provided by OnCellCounter. This tool is intended for research and reference purposes only and must not be used for clinical or diagnostic purposes.
Limitation of Liability
Logos Biosystems shall not be held liable for any errors, inaccuracies, or misinterpretations of the results, nor for any consequences arising from the use of OnCellCounter.
Data Privacy
Images uploaded to OnCellCounter are processed temporarily and are not stored or shared. Users are advised to avoid uploading sensitive or confidential data.
License and Use
By using OnCellCounter, users agree to these terms and conditions. Logos Biosystems reserves the right to modify or discontinue the tool at any time without prior notice.
