Unlocking Angiogenesis Insights
Quantify Blood Vessels in Chick Chorioallantoic Membrane Assay using IKOSA’s deep learning technology
Second International CAM Conference
5-6 February 2024
Having previously participated in and sponsored the 2022 conference organised by Prof. Regine Schneider-Stock, the Head of Experimental Tumorpathology, University Hospital Erlangen, we decided to continue this tradition in 2024.
We eagerly anticipate gaining insights into the field’s progress and collaborating with key scientists to share our latest developments, contributing to the advancement of research society.
Streamline your CAM analysis with a suite of solid features
Automatically segment blood vessels
Accelerate your research by automating the measurement of total area, length, mean thickness, and the number of branching points of blood vessels.
Dive into the analysis results
Examine your results from every angle! Download a CSV or an Excel file including quantitative data on the detected vessels and their visualization. Information includes areas of detected vessels (blue overlay), vessel paths (green lines) and vessel branching points (red dots).
2D, time-series, Z-stacks & multichannel images
Perform analysis on single images or multidimensional datasets and obtain high-quality results.
Exclusively analyze a designated region
Specify one or multiple Regions of Interest (ROIs) to reduce the analysis time.
Exclusively analyze a designated region
Specify one or multiple Regions of Interest (ROIs) for performing the analysis.
Discover the potential of the IKOSA CAM Assay App for robust and cost-effective angiogenesis research.
Experts and key opinion leaders share their opinion
Prof. Dr. Silke Härteis
“IKOSA provides a user-friendly premium software solution that meets high-quality standards at the same time. Thanks to it we have been able to bring our studies on the CAM Model a huge step ahead and we are eagerly looking forward to future joint projects.”
Prof. Domenico Ribatti
“We present a reliable method to quantify angiogenic and anti-angiogenic processes in the chick chorioallantoic membrane (CAM) that illuminate the mechanisms of vascular proliferation. Blood vessels on CAM-images can be efficiently analyzed with the IKOSA CAM Assay App to measure their total area, length, mean thickness, and the number of branching points.”
Prof. Tiziana Annese
“We study angiogenesis induction and suppression through the chick chorioallantoic membrane (CAM) assay. This assay involves quantifying CAM vasculature, including total area, length, mean thickness, and the number of branching points in blood vessels. These measurements can be conducted manually or through image processing techniques. Among these methods, we found the IKOSA CAM Assay application to be a valuable tool due to its efficiency and user-friendliness.”
IKOSA CAM Assay: Embraced by the Scientific Community
Delve into a comprehensive array of cases, interviews, and publications featuring prestigious institutions such as University Medical Center Mainz, University of Liverpool, University of Bari Aldo Moro, University of Regensburg, Medical University of Vienna, Utah Valley University, Ludwig Boltzmann Institute for Traumatology, The Research Center in Cooperation with AUVA, and Medical University of Graz.
These resources spotlight the versatile applications of the CAM Assay in their groundbreaking research.
We present to you a simple AI-driven method to analyze image data collected from the CAM assay model. Bear with us as we will explain to you how to...
Toxicological Analysis by Assessment of Vascularization and Cell Viability Using the Chicken’s Chorioallantoic Membrane (CAM Assay)
This paper presents a promising alternative in animal experimentation - the CAM assay using hen's eggs. The CAM provides a suitable environment for...
The Chick Embryo Xenograft Model for Malignant Pleural Mesothelioma: A Cost and Time Efficient 3Rs Model for Drug Target Evaluation
Malignant pleural mesothelioma is a cancer of the lung lining, normally caused by asbestos, that develops decades after exposure. Chemotherapy, and...
Among in vivo angiogenesis assays, chick chorioallantoic membrane (CAM) assay has allowed meaningful progress in elucidating the mechanism of the...
A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model
Angiogenesis is a highly regulated process. It promotes tissue regeneration and contributes to tumor growth. Existing therapeutic concepts interfere...
(1) Background: Autosomal dominant polycystic kidney disease (ADPKD) is a frequent monogenic disorder that leads to progressive renal cyst growth...
Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI)
(1) Background: angiogenesis plays an important role in the growth and metastasis of tumors. We established the CAM assay application, an image...
As the chick chorioallantoic membrane (CAM) model raises in popularity in scientific literature, many researchers express interest in...
In this article, we introduce five angiogenesis quantification software solutions that can help you leverage the potential of AI-driven image...
Find your potential antiangiogenic cancer treatment strategy with reliable software.
Harness the power of deep learning within the IKOSA CAM Assay app, securing your position at the forefront of ethical considerations, cost-effectiveness, and streamlined processes.
CAM Assay: Paving the Path for 3R Research
By offering the CAM Assay Application, we aim to contribute and expand the utilization of 3R-compliant research. Our goal is to eliminate the necessity for animal experiments altogether, while also reducing both the number of animals used and their distress during tests.