Quantitative imaging solutions and automated analysis of single cells and tissues.
Interesting topics featured in the new InfoLetter on Cancer research
Checkpoint Molecules Predict Response to Immunotherapy in Cancer
Heij et al. investigated the expression of checkpoint molecules in the tumor microenvironment of intrahepatic cholangiocarcinoma. They found that co-expression patterns of checkpoint molecules such as PD-L1 and TIGIT correlate with metastases and poor prognosis. TissueFAXS and StrataQuest were used to image the mIF-stained samples and assess protein expression.
InCoB 2023 Bioinformatics Conference: Registration Open
The 22nd InCoB conference, organized by Prof. Jyotsna Batra (Queensland University of Technology, Australia), TissueGnostics REDI research fellow, is taking place in Brisbane, Australia in November 2023. The conference is focused on translational bioinformatics topics, transforming life. Registration for the event is now open.
AI-Assisted Analysis of ‘Anti-/Pro-Tumor’ Profiles for Pancreatic Adenocarcinoma
To predict survival of patients with pancreatic adenocarcinoma, Zhou et al. performed an AI-assisted comprehensive analysis of CD8+ T cells, cancer stem cells (CSCs), and tumor budding (TB). They used StrataQuest image analysis software to automatically detect and quantify tumor-infiltrating CD8+ T cells, CD133+ CSCs, and CK19+ TB.
Case Study: Evaluating the Distance of Tumor Cells from Blood Vessels
The tumor vasculature is essential for keeping the tumor alive and facilitating its often-extensive growth. Here, the IF Tumor Foci Angio App was used to (i) assess the number of tumor and non-tumor nuclei, (ii) the number of blood vessels, and (iii) to evaluate the distance of tumor cells from blood vessels within the tumorous areas.
Book: Genetic Complexity of Hormone Sensitive Cancers
Dr. Rupert Ecker, CEO of TissueGnostics, and Prof. Jyotsna Batra (QUT) and colleagues participated in publishing a special issue “Genetic Complexity of Hormone Sensitive Cancers” in MDPI Genes. The book covers various details of methods in digital histopathology and illustrates novel findings in genetic mechanisms in several types of cancer.
TissueFaxs i PLUS
This system is ideal for automated slide scanning used in digital pathology. It consists of an inverted microscope with a slide scanner to capture high-quality images of slides. It has a motorised stage of precise sample positioning of the slides and software for image acquisition and analysis.
The scanner is equipped with bright-field and fluorescence imaging capabilities, enabling the visualization of various cellular and tissue structures.
This technology of digitised slides allows storage, sharing and analysis of pathology samples. This is particularly valuable in research laboratories, pharmaceutical companies and clinical settings where large volumes of slides need to be processed and analysed efficiently.
The TissueFaxs instrument is a specialised tool for quantitative Tissue Cytometry: The hardware of the system consists of slide scanners able to capture high-quality digitised images of cells and cell populations in tissues. This system comes with powerful software solutions: Strataquest, Histoquest and Tissuequest allowing for quantitative analysis of the acquired digitised images. TissueGnostics have pioneered the use of AI into its powerful systems. Specific apps can be customised for special projects, focussing on the essence of the study and allow analysis independent from the hardware.
The advantages are for digital pathology applications: fast throughput, versatility and flexibility of analysis of protein markers or spatial measurements of the morphological features in the cell structures captured in Fluorescent or in brightfield mode.
The advancement of this technology has benefits for diagnosis in detecting specific biomarkers, antigens and significant cell structures giving rise to the field of precision medicine and specialised studies of data interpretation to get insight for statistical study of the digitalised images which are visualised and employed for further studies.