Inform automated image analysis software package

Manufactured by PerkinElmer

InForm is an automated image analysis software package developed by PerkinElmer. It is designed to analyze and quantify image data from various imaging techniques, including immunohistochemistry, fluorescence, and brightfield microscopy.

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Lab products found in correlation

Vectra automated imaging system, by PerkinElmer (2 mentions) Nuance system, by PerkinElmer (1 mentions)

Close spelling variants of this product

InForm image analysis software InForm analysis software Image Analysis Software InForm software

2 protocols using inform automated image analysis software package

Multispectral Imaging with Vectra System

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Multispectral images were taken with TMA modules of Vectra® Automated Imaging System (Perkin Elmer) by 20x objective lens. Nuance system (Perkin Elmer) was used to build libraries of each spectrum (DAPI, 488, 568 and Cy5) and unmix multispectral images with high contrast and accuracy. InForm automated image analysis software package (Perkin Elmer) was used for batch analysis of multispectral images based on specified algorithms.

Huang H., Chen A., Wang T., Wang M., Ning X., He M., Hu Y., Yuan L., Li S., Wang Q., Liu H., Chen Z., Ren J, & Sun Q. (2015). Detecting cell-in-cell structures in human tumor samples by E-cadherin/CD68/CD45 triple staining. Oncotarget, 6(24), 20278-20287.

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Automated Multispectral Tissue Imaging

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Multispectral images were taken with TMA modules of Vectra® Automated Imaging System (Perkin Elmer) by a 20x objective lens (Figure S1A-C). A nuance system (Perkin Elmer) was used to build libraries of each spectrum (DAPI, 488, 568, and Cy5-650) and unmix multispectral images with high contrast and accuracy (Figure 1A-D). inForm automated image analysis software package (Perkin Elmer) was used for batch analysis of multispectral images based on specified algorithms.

Huang H., He M., Zhang Y., Zhang B., Niu Z., You Z., Li W., Cui P., Wang X., & Sun Q. (2020). Identification and validation of heterotypic cell-in-cell structure as an adverse prognostic predictor for young patients of resectable pancreatic ductal adenocarcinoma.

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