Skip to content
  • Our Work
    • Fields
      • Cardiology
      • ENT
      • Gastro
      • Orthopedics
      • Ophthalmology
      • Pulmonology
      • Surgical
      • Urology
      • Other
    • Modalities
      • Endoscopy
      • Medical Segmentation
      • Microscopy
      • Ultrasound
  • Success Stories
  • Insights
    • Magazine
    • Upcoming Events
    • Webinars
    • Meetups
    • News
    • Blog
  • The company
    • About us
    • Careers
Menu
  • Our Work
    • Fields
      • Cardiology
      • ENT
      • Gastro
      • Orthopedics
      • Ophthalmology
      • Pulmonology
      • Surgical
      • Urology
      • Other
    • Modalities
      • Endoscopy
      • Medical Segmentation
      • Microscopy
      • Ultrasound
  • Success Stories
  • Insights
    • Magazine
    • Upcoming Events
    • Webinars
    • Meetups
    • News
    • Blog
  • The company
    • About us
    • Careers
Contact

Detection and Segmentation of Dendritic Cells

Dendritic cells are a type of antigen-presenting cells and have an integral part in the normal functioning immune system, in that they help to initiate primary immune response. Dendritic cells are typically present in tissues that come in contact with the external environment. That includes the skin, the nasal cavity lining, the lungs and parts of the digestive tract.

Pharma - Dendritic cell

Segmentation of Dendritic Cells with Deep Learning

RSIP vision has developed a set of artificial intelligence tools to find, detect and track dendritic cells. Due to dendritic cells being an integral part of primary immune response, one might assume that they help the immune system fight against tumor cells thanks to their ability to present tumor antigens. However, tumor-associated dendritic cells are generally badly defective and they even contribute to immunosuppression in malignant diseases. Therefore, investigation and analysis of tumor-associated dendritic cells have become a major field of interest in search for cancer treatments. It is now known that they may have an impact on disease progression and their infiltration to the tumor increases immune response.

RSIP Vision has developed (in cooperation with others) computer vision-based tools which have shed light on the behavior of these very important cells in relation to Dry Eye Disease (DED). An AI module was developed for detection of cells using in vivo confocal microscopy (IVCM) of the human cornea. The application was carried out on corneal dendritic cells to assess the inflammation level, by visualizing the density of immune system cells that promote inflammation. Usually, classification of these cells in IVCM images is done manually, which makes it an extremely time-consuming operation which is also prone to interpretive errors based on the experience level of the examiner. Hence, RSIP Vision has developed automated convolutional neural networks (CNN) for detection and quantification of dendritic cells. These CNNs proved to be very efficient in detecting the cells, as they did it with high accuracy, objectiveness and fast. This process eliminates the risk of interpretation errors, the consequences of which could adversely affect timely diagnosis and effective prognosis.

These algorithmic tools are supplied today by RSIP Vision. Contact our engineers now so that your organization can also benefit from these technology breakthroughs.

Share

Share on linkedin
Share on twitter
Share on facebook

Main Field

Microscopy

View Microscopy

Categories

  • Microscopy, RSIP Vision Learns

Related Content

Multiplex

Multiplex IF Analysis

CTCs - Circulating Tumor Cells

Circulating Tumor Cells (CTCs)

Pharma - Tissue Analysis

Tissue Analysis with AI

Cell Classification - pattern recognition classification techniques

Biomedical image processing and algorithms

Microscopy view of Monocytes

Cell Classification software

Automated diagnostic reading of HIV

Multiplex

Multiplex IF Analysis

CTCs - Circulating Tumor Cells

Circulating Tumor Cells (CTCs)

Pharma - Tissue Analysis

Tissue Analysis with AI

Cell Classification - pattern recognition classification techniques

Biomedical image processing and algorithms

Microscopy view of Monocytes

Cell Classification software

Automated diagnostic reading of HIV

Show all

RSIP Vision

Field-tested software solutions and custom R&D, to power your next medical products with innovative AI and image analysis capabilities.

Read more about us

Get in touch

Please fill the following form and our experts will be happy to reply to you soon

Recent News

IBD Scoring – Clario, GI Reviewers and RSIP Vision Team Up

RSIP Neph Announces a Revolutionary Intra-op Solution for Partial Nephrectomy Surgeries

Announcement – RSIP Vision Presents Successful Preliminary Results from Clinical Study of 2D-to-3D Knee Bones Reconstruction

Announcement – New Urological AI Tool for 3D Reconstruction of the Ureter

All news
Upcoming Events
Stay informed for our next events
Subscribe to Our Magazines

Subscribe now and receive the Computer Vision News Magazine every month to your mailbox

 
Subscribe for free
Follow us
Linkedin Twitter Facebook Youtube

contact@rsipvision.com

Terms of Use

Privacy Policy

© All rights reserved to RSIP Vision 2023

Created by Shmulik

  • Our Work
    • title-1
      • Ophthalmology
      • Uncategorized
      • Ophthalmology
      • Pulmonology
      • Cardiology
      • Orthopedics
    • Title-2
      • Orthopedics
  • Success Stories
  • Insights
  • The company