Interactive Multiplex Tissue Imaging Data Sets
These whole slide multiplex data sets show the transformational power of the Orion™ system, enabling comprehensive phenotypic profiling and characterization of tissue architecture, tumor heterogeneity, and the immune response.
High-Plex IF + H&E Imaging of a 40-Patient Colorectal Cancer Cohort
This data set describes an approach for collecting and analyzing H&E and high-plex immunofluorescence (IF) images from the same cells in a whole-slide format suitable for translational and clinical research and eventual deployment in diagnosis. Highly multiplexed tissue imaging, spatial statistics, and machine learning were used to identify cell types and states underlying morphological features of known diagnostic and prognostic significance in colorectal cancer.
15-Plex Orion™ Imaging of Tonsil Lymphoid Hyperplasia
This is a whole-slide tissue section of a tonsil with reactive lymphoid hyperplasia stained with a 15-plex biomarker panel and imaged with the Orion instrument in a single staining and scanning process. Images in this data set show subsets of markers that have been selected from the larger immuno-oncology panel.
17-Plex Orion™ Imaging of Colorectal Adenocarcinoma
This is a whole-slide tissue section of an invasive colorectal adenocarcinoma stained with a 17-plex Immuno-oncology biomarker panel and imaged with the Orion system in a single staining and scanning process. These data were collected in collaboration with the Harvard Laboratory of Systems Pharmacology. Images in this viewer show smaller sets of markers that have been selected from the larger panel.
16-Plex Orion™ Imaging of Oral Squamous Cell Carcinoma
This data set displays 16-markers on a single tissue section. The normal mucosal surface of the tongue is at the bottom of the image and the nodule of invasive cancer is seen in the top half, surrounded by fibrous reaction. The slide was stained with Orion reagents and imaged using the Orion Instrument. All markers were stained in a single staining procedure and imaged in a single scan.
17-Plex Orion™ Imaging of NSCLC-adjacent Lung
This data set is a 17-marker whole-slide scan of a single section of lung from a region adjacent to a non-small cell lung carcinoma. It has intact normal lung alveolar architecture, with scattered immune cell infiltrates. The slide was stained with Orion reagents and imaged using the Orion Instrument. All markers were stained in a single staining procedure and imaged in a single scan.
How Can Multiplex Tissue Imaging Improve Research?
Multiplex tissue imaging has emerged as a transformative tool in biomedical research, offering significant advantages for investigating complex biological processes and disease mechanisms. This advanced imaging technique enables the simultaneous visualization of multiple molecular markers within a single tissue sample, providing researchers with a comprehensive and spatially resolved view of cellular interactions and protein expression patterns. Such capabilities have profound implications for improving research outcomes in several ways.
Firstly, multiplex imaging allows for a more detailed understanding of cellular heterogeneity within tissues, aiding in the characterization of cell types and their functional states. This is especially valuable in cancer research, where the tumor microenvironment is highly dynamic. Furthermore, multiplex imaging facilitates the identification of novel biomarkers and potential therapeutic targets by revealing intricate molecular networks.
Additionally, multiplex tissue imaging enhances our ability to study immune responses, neurobiology, and developmental processes, among others. By providing a holistic view of tissue architecture and molecular events, it contributes to a deeper comprehension of disease pathogenesis and the development of more targeted and effective therapeutic strategies. In summary, multiplex tissue imaging represents a pivotal advancement in research methodologies, empowering investigators to glean richer insights into complex biological phenomena and ultimately improve human health.
