- Capture properly focused images of spheroids in their ideal growth environment in U-shape bottom plates
- Easily spot Spheroids using unique methodology of rapid scanning for spheroid localization
- Simple and labor reducing automated analysis of spheroid relevant features
- Monitor Spheroid growth over the entire plate using plate view
- Classify Spheroids of specific, desired features using sub-population tool
- Apply Live/ Dead Spheroid Assay to monitor viability of 3D tumor spheroids
- Visualize spheroid morphology over a range of depths using flexible multi-plane definitions
Monitor Spheroid growth over the entire plate
Video: Fluorescence & Z-stack projection
Plate view of spheroids in multiple time points of a 40h time lapse experiment in 96 well plate
Spheroid localization using unique methodology of rapid scanning
Using object targeting (object mapping) application, Hermes system applies a unique two-step methodology of for spheroid localization, which achieves rapid scanning while targeting only objects of interest.
First, a low magnification scan rapidly images the entire plate. Analysis of the initial scan identifies the spheroids of interest based on flexible, user-defined properties.
Second, Hermes rapidly exchanges the low magnification objective for a high magnification one, followed by a second scan that acquires images at high resolution. Users can optionally combine z-stack or time-lapse imaging with this methodology to image only fields of view containing the selected objects of interest.
Multi-plane, Z-stack flexible definition
Multiplane imaging with flexible definition of interplane distance and number of planes to visualize spheroid morphology over a range of depths.
Easy and labor reducing analysis of spheroids
Automated quantification of morphological parameters with easy and labor reducing analysis of spheroid relevant features, such as solidity (“roundness” vs. random shape), size, area and fluorescence markers. The software also allows for maximum intensity projections from multiple planes into a single merged image.
Classify Spheroids of specific, desired features
Use Sub population analysis to define groups of objects based on their properties and quantify average properties of each group to allow identification of spheroids or Organoids possessing specific, desired features.
Intra-spheroid cell analysis
Monitor viability of 3D tumor Spheroids
Apply Live/ Dead Spheroid Assay to detect and monitor viability of 3D tumor spheroids. Quantify the number of live and dead spheroids.