WBC Smart Lab
Pipat Luengnaruemitchai
Free
About WBC Smart Lab
Everything white blood cell-related. Key features:
AI-Powered White Blood Cell Classifier:
Snap a photo directly through your microscope and the AI model will classify the white blood cell type. Save time, improve consistency, and get another opinion. 98% accuracy with our test set, may vary depending on lighting & microscope. Keep in mind that this should be used to aid, not make, your decision.
WBC Counter:
A user-friendly cell type counter for educational, lab and clinical use. Increment&decrement, haptics/vibration, save data, custom classes, and automatically calculate ratios.
Interactive Training Mode:
Practice identifying white blood cell type with high quality labeled sample images. Get immediate feedback and performance report, perfect for exam prep or training.
For instructors: contact me at knotgavin[at]gmail[dot]com to get an institutional account in order to assign and track student's performance.
Contact me at knotgavin[at]gmail[dot]com to provide feedback/suggestions! I'll try to constantly improve the model as more real world data is available.
Thanks to the Faculty of Allied Health Sciences, Chulalongkorn University for the dataset and support!
AI-Powered White Blood Cell Classifier:
Snap a photo directly through your microscope and the AI model will classify the white blood cell type. Save time, improve consistency, and get another opinion. 98% accuracy with our test set, may vary depending on lighting & microscope. Keep in mind that this should be used to aid, not make, your decision.
WBC Counter:
A user-friendly cell type counter for educational, lab and clinical use. Increment&decrement, haptics/vibration, save data, custom classes, and automatically calculate ratios.
Interactive Training Mode:
Practice identifying white blood cell type with high quality labeled sample images. Get immediate feedback and performance report, perfect for exam prep or training.
For instructors: contact me at knotgavin[at]gmail[dot]com to get an institutional account in order to assign and track student's performance.
Contact me at knotgavin[at]gmail[dot]com to provide feedback/suggestions! I'll try to constantly improve the model as more real world data is available.
Thanks to the Faculty of Allied Health Sciences, Chulalongkorn University for the dataset and support!
WBC Smart Lab Screenshots
Tap to Rate: