
Accurate, fast & easy.
For cell researchers from data scientists.
AI-based image and data analysis pipeline: PHIOme offers cutting-edge cell detection and cell movement analysis on Cellwatcher images in real-time. And it doesn’t stop there: The basic parameters obtained directly during image analysis are further processed in semi- or fully automated data analysis modules offering multiparametric, high quality output without any effort or expertise required. Detect cell dynamics like growth, motility, morphology, differentiation and viability, on the fly, even without any computer science background.
high quality standards
without any need of labels or excitation. All components of our microscope are engineered and tested in order to guarantee non-invasive cell behavior. No more worrying about phototoxicity, influences of labels and enviromental impacts.
cell proliferation
without any need of labels or excitation. All components of our microscope are engineered and tested in order to guarantee non-invasive cell behavior. No more worrying about phototoxicity, influences of labels and enviromental impacts.
condensed key results
without any need of labels or excitation. All components of our microscope are engineered and tested in order to guarantee non-invasive cell behavior. No more worrying about phototoxicity, influences of labels and enviromental impacts.
multiparametric
without any need of labels or excitation. All components of our microscope are engineered and tested in order to guarantee non-invasive cell behavior. No more worrying about phototoxicity, influences of labels and enviromental impacts.
cutting-edge algorithms
without any need of labels or excitation. All components of our microscope are engineered and tested in order to guarantee non-invasive cell behavior. No more worrying about phototoxicity, influences of labels and enviromental impacts.
real-time
without any need of labels or excitation. All components of our microscope are engineered and tested in order to guarantee non-invasive cell behavior. No more worrying about phototoxicity, influences of labels and enviromental impacts.
Automatic deep learning
> 1 million processed images
> 10 years observing cells.
without any need of labels or excitation. All components of our microscope are engineered and tested in order to guarantee non-invasive cell behavior. No more worrying about phototoxicity, influences of labels and enviromental impacts.
> 3×109 µm cells tracked.
Our algorithms are the basis for our cell line analysis software. Trained with more than one million images and proofed using big datasets to ensure highest quality standards, our powerful convolutional neural networks allow you to automatically analyze multiple parameters of hundreds of cells at the same time.
Real-time segmentation
Our software is based on the translational power of Generative Adversarial Networks (GANs) to reliably determine the total area covered by cells. Combined with our exceptionally large fields of view, you can analyze a larger population of your cells in less time.
Single cell tracking
Our models, Region Based Convolutional Neural Networks (R-CNNs), detect a large number of individual cells in lensfree microscopy images and enable non-invasive single cell tracking over days. This lays the foundation for extensive analyses of single cell motility and migration. Left: Tracking of single cell paths. Right-top: square displacement for every cell, population average (mean square displacement MSD), and fit with anomalous diffusion equation (MSD(τ) = 4Daτa) yielding the diffusion rate at different timepoints. Right-bottom: comparison with MSD calculated by taking the difference in position every hour.