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Inform 2.3 image analysis software

Manufactured by PerkinElmer
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The Inform 2.3 Image Analysis Software is a powerful tool designed for comprehensive image analysis. It provides a suite of advanced imaging capabilities to support a wide range of applications.

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Lab products found in correlation

Vectra 3, by PerkinElmer (2 mentions) Mantra multispectral imaging platform, by PerkinElmer (2 mentions)

Close spelling variants of this product

InForm software (100 citations) InForm image analysis software (50 citations) InForm 2.4 software (28 citations) InForm analysis software (9 citations) InForm Advanced Image Analysis software (inForm 2.3.0; (4 citations) Inform 2.2 image analysis software (3 citations) Image Analysis Software (3 citations)

3 protocols using inform 2.3 image analysis software

1

Multispectral Imaging for Tumor Analysis

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Image acquisition was performed using the Mantra multispectral imaging platform (Vectra 3, PerkinElmer, Hopkinton, MA) as previously described 34 (link). Areas with non-tumor or residual normal tissue (i.e. residual lymph node) were excluded from the analysis. Representative regions of interest were chosen by the pathologist, and 5–7 fields of view (FOVs) were acquired at 20× resolution as multispectral images. Image Analysis was performed using the Inform 2.3 Image Analysis Software (PerkinElmer, Hopkinton, MA).
Cañadas I., Thummalapalli R., Kim J.W., Kitajima S., Jenkins R.W., Christensen C.L., Campisi M., Kuang Y., Zhang Y., Gjini E., Zhang G., Tian T., Sen D.R., Miao D., Imamura Y., Thai T., Piel B., Terai H., Aref A.R., Hagan T., Koyama S., Watanabe M., Baba H., Adeni A.E., Lydon C.A., Tamayo P., Wei Z., Herlyn M., Barbie T.U., Uppaluri R., Sholl L.M., Sicinska E., Sands J., Rodig S., Wong K.K., Paweletz C.P., Watanabe H, & Barbie D.A. (2018). Tumor innate immunity primed by specific interferon-stimulated endogenous retroviruses. Nature medicine, 24(8), 1143-1150.
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2

Quantitative Pathology Imaging of Tumor-Immune Landscape

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Stained slides were scanned using the Vectra 3.0 Quantitative Pathology Imaging System (Perkin Elmer, Waltham, MA). Ten high-power fields (HPF) along the tumor-stroma interface enriched in immune cells (“hot-spots”) were chosen for analysis in each specimen. InForm 2.3 Image Analysis software (Perkin Elmer) was used for spectral unmixing, cell segmentation, and identification and quantification of cellular subsets. The fraction of cells in each lineage was normalized by the number of tumor cells in each analyzed field.
Giraldo N.A., Nguyen P., Engle E.L., Kaunitz G.J., Cottrell T.R., Berry S., Green B., Soni A., Cuda J.D., Stein J.E., Sunshine J.C., Succaria F., Xu H., Ogurtsova A., Danilova L., Church C.D., Miller N.J., Fling S., Lundgren L., Ramchurren N., Yearley J.H., Lipson E.J., Cheever M., Anders R.A., Nghiem P.T., Topalian S.L, & Taube J.M. (2018). Multidimensional, quantitative assessment of PD-1/PD-L1 expression in patients with Merkel cell carcinoma and association with response to pembrolizumab. Journal for Immunotherapy of Cancer, 6, 99.
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3

Multispectral Imaging for Tumor Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Image acquisition was performed using the Mantra multispectral imaging platform (Vectra 3, PerkinElmer, Hopkinton, MA) as previously described 34 (link). Areas with non-tumor or residual normal tissue (i.e. residual lymph node) were excluded from the analysis. Representative regions of interest were chosen by the pathologist, and 5–7 fields of view (FOVs) were acquired at 20× resolution as multispectral images. Image Analysis was performed using the Inform 2.3 Image Analysis Software (PerkinElmer, Hopkinton, MA).
Cañadas I., Thummalapalli R., Kim J.W., Kitajima S., Jenkins R.W., Christensen C.L., Campisi M., Kuang Y., Zhang Y., Gjini E., Zhang G., Tian T., Sen D.R., Miao D., Imamura Y., Thai T., Piel B., Terai H., Aref A.R., Hagan T., Koyama S., Watanabe M., Baba H., Adeni A.E., Lydon C.A., Tamayo P., Wei Z., Herlyn M., Barbie T.U., Uppaluri R., Sholl L.M., Sicinska E., Sands J., Rodig S., Wong K.K., Paweletz C.P., Watanabe H, & Barbie D.A. (2018). Tumor innate immunity primed by specific interferon-stimulated endogenous retroviruses. Nature medicine, 24(8), 1143-1150.
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