Version 4.2

New hardware support

• Hamamatsu ORCA Flash4.0 LT3

New function/improvement

• Magnification calibration
  • Calibration slide enables partly automatic magnification calibration.
  • Calibration report can be exported.
• Experiment Manager
  • Observation Method, Exposure time and Camera settings can be set during the Overview Acquisition setting, making experiment more efficient.
  • The sample detection setting in the Stage Navigator can be easily reflected in other experiments.
  • 2D/3D deconvolution processing is available during the experiment.
• TruAI（Deep Learning）
  • Image Regression function enable the creation of good signal-to-noise ratio images.
  • Interactive training function makes training more efficient.
  • Improved traceability of experimental protocols by being able to identify the network information used
  • Add a neural network for segmentation “IHC Nuclei Classification”.
• Scale bar transparency
• Rotate view Improvement in live mode.
• Export of multi-channel images is improved to allow simultaneous export of each channel and merged image.
• Add a new method for offline MIA.
• Simplified access to the FLUOVIEW software.
• Object Counting is available in cellSens Entry.

Version 4.1.1

New hardware support

• Type 2 models for DP23, DP23M, and DP28 are now supported.
  Note: You can find the hardware revision number of the DP23 and DP28 cameras (Rev. 1 or Type 2) on the camera's type plate.

Minor bug improvements

• Adjusting of MIA images border from the Process Manager.
• Load settings for Well Navigator
• Correlation values in Colocalization
• Stability of Shading correction calibration

Version 4.1

New hardware support

• Teledyne Photometrics：Prim BSI Express（High sensitivity sCOMS）
• CoolLED：pE800（8-channel LED light source)

New function/improvement

• “Automatic Sample Detection” in the Stage navigator.
  • “Generic” and “AI” algorithms are available for setting the multi-imaging areas.
• “Overview Acquisition” in the Experiment manager
  • At the beginning of the experiment, the overview image can now be captured, and sample detection can be performed automatically using “Automatic Sample Detection” function.
  • Macro to Micro imaging is available.
• Improvement of TruAI (Deep learning function)/
  • Added the new Instance segmentation. “Individual Objects” check box in the training label class. Overlapping objects can be separated individually.
  • Pre-trained neural network for detecting the Nuclei and the Cells in the cellSens Count and measure full option and Deep learning option.
  • Additional GPUs of NAIDIA RTX3080, RTX A4000 are supported.
• Improvement of shading correction
  • “Special” algorithm is available.
  • “Smoothing filter” can be used in the standard calibration.
• Improvement of Deconvolution
  • “2D no neighbor” algorithm can be used in the Online deblur.
  • Additional GPUs of NAIDIA RTX3060i, RTX3070, RTX3080, RTX A4000 are supported.
  • Log files related to deconvolution are included in the “Customer Support Information”.
• Save pixel calibration in JPEG image
  • Save and open pixel calibration with the JPEG image.
  • Length and area measurement in JPEG images.
• Creating the training labels are available with all cellSens packages.
• New splash display with uniformity with other software.
• The new update policy.
• The update licenses renamed to OUT (One Time Update).

Version 3.2

New hardware support

• Olympus: U-LGPS LED and LDP light source
• Teledyne Photometrics: Moment Global shutter scientific CMOS camera

New function/improvement

• Improvement of TruAI (deep learning function)
  • The minimum image size for training files is 512x512.
  • In addition to VSI images, TIFF images can be used for training.
  • The number of image files used for training is displaied in the training setting
  • “Basic mode" and “Expert mode" for more detailed settings are selectable for the training.
  • Additional neural network types are available for the training.
  • Several types of training duration setting are available.
  • Check point can be set at any timing in the training setting.
  • Live display of inference results is possible and the results can be confirmed before the image acquisition.
  • Deep Learning inference and object counts can be run at once
  • Magic Wand is available for making annotations on the training images.
  • In case of Z-stack images processed, inference results are displayed for each frame.
  • Neural network processing information is showed on the properties of the processed images.
  • Additional GPUs of NVIDIA RTX3060Ti and RTX3070 are supported.
• Restore function of cellSens condition to specified restore point is available (public information only)。
• The data recovery process can be enabled or disabled. In case of "disable", total time for the data acquisition can be reduced without the data recovery processing and this is beneficial especially for large volume data acquisition.
• The period for the log collection can be specified.
• Execution of the macro can be set in the Graphical Experiment Manager. The macro is executed just after the acquisitionon completed (specific processings only).
• Additional ways of image export are available.
  • Raw data and Merged channels: The image of each channel and the merged image are exported.
  • Raw data and Merged channels with Burn in Info: The image of each channel and the merged image are exported, information is burned.
• Improvement of NetCam function environment compatibility
• Improvement of image cropping function
  • Acquired images can be cropped by specifying the XY position and size numerically.
  • ROI part can be saved as a new image.
• CoolLED pE-300 white and pE-300 ultra LED light sources are supported in cellSens Standard

Version 2.3

New hardware support

• Hamamatsu: ORCA-Fusion Scientific CMOS camera
• CoolLED: pE-300white, pE-300ultra, pE-340fula LED light source
• Andor: Sona 4.2B-11 Scientific CMOS camera

New function/improvement

• Support of Hamamatsu ORCA-spark CMOS camera by cellSens Standard
• Improvement of automated MIA
  • Acquisition of multi-color overview image
  • Define MIA area by polygon
  • Background color selection
• Manual selection of Extract Best Focus (Custom Selection mode)
• Improvement of Line Profile
  • Polyline and Free hand
  • Multiple line in one image
• Zoom function in Tile View mode
• Improvement of calculation algorithm of 3D deconvolution

Software download

Version 2.2

Version 2.1

Product portfolio changes

• High-end Camera is eliminated and integrated into Dimension
• High-end Device is eliminated and integrated into Dimension
• Multi-Color Acquisition is eliminated and integrated into Standard
• Three New Solutions for Entry
  •  Manual Process: Enable manual MIA and manual EFI
  •  Encoded: Enable control of encoded devices
  •  Interactive Measurement: Enable exporting measurement result to Excel

New function/improvement

• GPU processing for CI deconvolution
• Support of Position Group properties for automatic naming/saving
• Improvements to Export Image dialog including; Marge Channel, Burn in Info and Split Channels
• Save as OIR format
• Import OME tiff format image
• Batch conversion
• Adjust print resolution (PPI) of images
• Execute macro for Shading correction in FV3000
• Select All detected objects in Count and Measure
• EFI command in Experiment manager
• Hide alert when manual device is changed