버전 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”.
• 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).

버전 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

버전 2.3

새로운 하드웨어 지원

• 하마마츠: ORCA-Fusion Scientific CMOS 카메라
• CoolLED: pE-300white, pE-300ultra, pE-340fula LED 광원
• Andor: Sona 4.2B-11 Scientific CMOS 카메라

새로운 기능/개선 사항

• CellSens Standard의 Hamamatsu ORCA-spark CMOS 카메라 지원
• 자동화 MIA 개선
  • 다중 색상 전체 이미지 촬영
  • 다각형으로 MIA 영역 정의
  • 배경색 선택
• 최상의 초점 추출 수동 선택(사용자 정의 선택 모드)
• 라인 프로필 개선
  • 폴리라인 및 프리핸드
  • 하나의 이미지에서 여러 라인
• 타일 보기 모드에서 확대/축소 기능
• 3D 디콘볼루션 계산 알고리즘 개선

소프트웨어 다운로드

버전 2.2

버전 2.1

제품 포트폴리오 변경

• 고성능 카메라가 제거되고 Dimension에 통합됩니다.
• 고성능 장치가 제거되고 Dimension에 통합됩니다.
• 다색 카메라가 제거되고 Standard에 통합됩니다.
• 엔트리를 위한 세 가지 새로운 솔루션
  •  수동 프로세스: 수동 MIA 및 수동 EFI 활성화
  •  인코딩된 장치: 인코딩된 장치 제어
  •  대화형 측정: 측정 결과를 Excel로 내보내기 활성화

새로운 기능/개선 사항

• CI 디콘볼루션을 위한 GPU 처리
• 자동 이름 지정/저장을 위한 위치 그룹 속성 지원
• 채널 병합, 번인 정보, 채널 분할을 포함한 이미지 내보내기 대화상자에 대한 개선 사항
• OIR 형식으로 저장
• OME TIFF 형식 이미지 가져오기
• 일괄 변환
• 이미지의 인쇄 해상도(PPI) 조정
• FV3000에서 음영 보정을 위한 매크로 실행
• 개수 및 측정에서 감지된 모든 개체 선택
• 실험 관리자의 EFI 명령
• 수동 장치 변경시 경고 숨기기