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Advantages of implementing Deep Learning for tissue segmentation and cell detection in multiplex IF studies

OracleBio Case Study

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Study Background

Advantages of implementing Deep Learning for tissue segmentation and cell detection in multiplex IF studies

Utilize AI Deep Learning approaches in Visiopharm software to enhance the performance of:

 

  • Tumor / stroma ROI segmentation across different cancer tissues
  • Detection of different phenotypic cells within TME across samples

Sample Details

8-plex mIF stained Tissue Microarray (TMA), containing 4 different cancers across 143 cores

Staining

mIF Panel: CD3, CD4, CD8, FOXP3, CD68/CD163, PD-1, PD-L1 & pan-CK / SOX10 cocktail

Analysis

Image analysis was performed using Visiopharm software.

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Multiplex Digital Phenotyping of the Tumour Microenvironment AACR 2021

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Benefits of Working with OracleBio for your Clinical Studies:

 

  • Data you can trust – We have thorough quality control procedures in place throughout our workflow to ensure the data we provide is of a high-quality standard
  • Work alongside Clinical Project managers – experienced with ensuring data parity between time-separated batches of clinical samples