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TissueGnostics provides fully integrated cutting-edge tissue cytometers for (i) whole-slide imaging (brightfield, fluorescence, confocal, multispectral) and (ii) high-end analysis of tissue sections, cultured cells, TMAs, smears etc. Explore TGs solutions for spatial phenotyping, single cell analysis, molecular single cell profiling, machine-learning based tissue classification and many more.
 

Practical approaches for using tissue cytometry for clinical and research applications - Kim Blenman


NOV

22. Nov 2018

Personalized Medicine: TissueGnostics majorly contributes to a dossier


On October 5th 2018 the Austrian Medianet magazine published a health economy dossier on Personalized Medicine.
Medianet has the largest reach of all Austrian trade journals and is mainly read by managers, decision makers and stakeholders in the Austrian economy.

TissueGnostics globally contributes to research which boosts Personalized Medicine through cooperation projects and enabling research done by its clients. Therefore the company was invited to organize a round table on the subject with Austrian experts and also to provide further insights from its cooperation partners.

Medianet reach

The round table was held at TissueGnostics premises with TGs CEO, Rupert Ecker, taking part as an expert.

round table

The dossier will be included in the medianet print journal, with a circulation of 14.000 and as an e-paper with a circulation of 42.000 .

DossierEnglisch

Download the pdf version of the dossier.

DossierDeutsch

Download der deutschen pdf-Version.

PORTFOLIO

TissueGnostics (TG) provides streamlined solutions for both biomedical imaging and image analysis. The goal of TG is to bring the same type of phenotypical analysis of single cells from Flow Cytometry into tissue context. The merging of image analysis software and high-quality optics and robotics has allowed TG to create the TissueFAXS system - a fully automated system which can scan slides/well plates and automatically quantify marker expression per cell. Going a step beyond that is StrataQuest - a software development platform for creating complex image analysis algorithms that can automatically detect multicellular structures within scanned tissue sections for a highly detailed contextual tissue analysis.

The imaging systems are modular and upgradable. Every system can be customized to offer the following capabilities: brightfield scanning, widefield fluorescence, confocal, and multispectral. Every system can come either in an upright configuration for scanning slides only, or inverted for scanning well plates and slides. Each TissueFAXS system comes with either an 8-slide stage, or a high-throughput automatic 120 slide loading system only available for the upright TissueFAXS system configuration. TissueFAXS systems can come with high powered LED light engines combined with multi bandpass filter cubes for high speed fluorescence scanning.

Image analysis software comes in 3 forms: TissueQuest for fluorescence image analysis, HistoQuest for brightfield image analysis, and StrataQuest for multicellular contextual tissue analysis for both brightfield and fluorescence images. TissueQuest and HistoQuest are streamlined for rapidly acquiring nuclear segmentation and marker quantification per cell. StrataQuest offers much more in terms of image analysis and is therefore more complex, which is why TissueGnostics offers the development of customized algorithms as a service to researchers. Every StrataQuest solution (or APP) includes a simplified user interface that is made by the underlying algorithm, and contains macros so that even researchers with little or no experience in image analysis can obtain high quality data from analysing their scanned images.

TG provides image analysis solutions for a multitude of research questions. The image analysis software StrataQuest, HistoQuest and TissueQuest (for brightfield and fluorenscence projects) can be applied e.g. to explore the tumor microenvironment and/or the spatial organization of cellular subpopulations, to detect and quantify fluorescence in situ hybridization (FISH), to assess different bone structures, or to analyze multiplex IF stainings. Please find additional applications in the sections: App center and user examples in StrataQuest APP analysis examples.

CONTACT US

If you are interested please contact us

Characterizing the Complex Microenvironment of Individual Immune Cells

In addition to identifying and characterizing the morphology of individual cells, a more complex phenotypic profile includes the cell’s activation state and function within the tissue microenvironment.
Recent developments in quantitative imaging hardware and software have allowed researchers to study immune cells in situ but, as only four biomarkers can be studied at one time on standard microscopy systems, this does not capture a complete picture of the cell’s activity.

Meanwhile, flow cytometry is a well-established method that allows multiple biomarkers to be studied at one time, but it has the disadvantage of dissociating the cells from important information about the tissue microenvironment.
The development of a system that could provide flow cytometry-like data on cell biomarkers while retaining information on the tissue microenvironment, as in conventional microscopy, would therefore be extremely valuable for meeting the demands of modern clinical practice.

A recent study by researchers at Yale University School of Medicine (Blenman K & Bosenberg M, 2019) demonstrates an approach that can overcome the limitations discussed above. They show that applying new analytic technology to a conventional microscopy setup makes possible a complex characterization of immune cells in situ.

Adapting a familiar setup

Dr Kim Blenman studied tissue samples from the spleen in a mouse model of melanoma developed by Dr Marcus Bosenberg. Dr Blenman employed a conventional microscopy setup to perform multiplexed fluorochrome-based histology on formalin-fixed paraffin-embedded tissue sections, with biomarkers conjugated to Cy3 or Cy5.

Dr Blenman was interested in the CD4 transmembrane protein – a biomarker of multiple T-cell subtypes – and six biomarkers of cell activity, such as proliferation and transcription, associated with these cells.

She used multiple staining rounds, inactivating the dyes between each round, to study the different biomarkers of cell activity including Foxp3, RORγ(t), Ki-67, T-bet, Granzyme B, and IL-6.

Dr Blenman used an all-in-one system from TissueGnostics. High-magnification images were acquired with the TissueFAXS Quantitative Imaging System for downstream analysis integrated with advanced image processing software (TissueGnostics StrataQuest) that reconstructs whole images in silico and performs cell phenotyping and tissue cytometry.

The software first uses and algorithm to stitch the tiled images together to recreate the whole image. It then creates a composite image that includes all the biomarkers from each staining round. Following this, cell isolation is performed using two algorithms: one to identify the cell nucleus and a second which identifies the biomarker for the cell phenotype. Quantification was then achieved by assessing in turn which cells were positive for each biomarker, using a backgating algorithm to determine cutoffs at which cells or cell clusters should or should not be included.

Using this method on the spleen tissue samples, Dr Blenman was able to show that it can obtain multiple biomarkers at one time in situ.

With this information, they were able to phenotypically characterize cells within the tissue sample and assign them to categories based on the combination of biomarkers expressed by individual and clusters of cells. Through this, they showed that levels of CD4 expression within cell clusters correlated with distinct patterns of biomarker expression and cell proliferation.

WP Phenotyping

Visualizing the future

The immune system is incredibly complex and being restricted to profiling only four biomarkers per cell type has been a limiting factor. One advantage of the system used by the authors is that it harnesses a microscopy set up that is already present in most laboratories, making it highly accessible. And, while the authors chose to study six biomarkers, there is theoretically no limit to the number of biomarkers that can be studied at one time.

Dr Blenman says that this method has an advantage of being able to objectively quantify cell biomarkers. Reporting in Cytometry Part A, she says it has potential to be very useful in cancer treatment where therapies are becoming increasingly targeted to the individual’s disease and its underlying mechanism. For example, the technique could be used to detect response to immunotherapy through the analysis of biopsies before, during, and after treatment.

The method helps to retain spatial information about the cells while characterizing them phenotypically, facilitated by flow cytometry-like capabilities including gating, backgating and histogram/dot scatterplot outputs.

TissueGnostics innovation

The process described by Dr Blenman in the Cytometry A paper was made possible through the TissueFAXS Quantitative Imaging System and TissueGnostics StrataQuest analysis software. These technologies combined lead to a streamlined, highly automated process which frees the user from hands-on time. The authors highlight the potential of TissueFAXs to incorporate MATLAB scripts into the StrataQuest analysis software. There are also over 50 compatible ready-to-load apps which can facilitate specialized analyses. Each app provides a specific analysis from start-to-finish and deliver the data ready to export to the program of your choice.

The TissueFAXS system is a versatile upright system which can scan and analyze slides, cytospins, smears and tissue microarrays. It comes equipped with both fluorescence and brightfield modes but, with supplemental components, can also be customized for contrast microscopy methods.

The system can be equipped with one of three software choices, the most advanced and comprehensive being StrataQuest. StrataQuest can automatically detect structures within a digital slide, such as blood vessels and can identify and quantify millions of cells within a cell sample. The software is also available as a standalone products for use with existing scanning systems and is compatible with imported images and slides in a wide range of formats.

References

Watch the Kim Blenman's Webinar - Practical approaches for using tissue cytometry for clinical and research applications

Blenman KRM & Bosenberg MW. Immune Cell and Cell Cluster Phenotyping, Quantitation, and Visualization Using In Silico Multiplexed Images and Tissue Cytometry. Cytometry A. 2019; 95:399-410. doi: 10.1002/cyto.a.23668.

Long-term skin resident memory T cells proliferate in situ and are involved in human graft-versus-host disease

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XING

In our online offering, features and content of the XING service may be embedded, offered by XING SE, Dammtorstraße 30, 20354 Hamburg, Germany
The "XING Share Button": When accessing this website, your browser will quickly establish a connection to XING SE ("XING") servers with which the "XING Share Button" functions (in particular the calculation / display of the counter value) will be provided. XING does not store personal data by calling this website. In particular, XING does not store any IP addresses. There is also no evaluation of your usage behavior via the use of cookies in connection with the "XING Share Button". The current data protection information on the "XING Share Button" and additional information can be found on this website:
https://www.xing.com/app/share?op=data_protection

Created with Privacy-Generator.de by lawyer Dr. Thomas Schwenke (output in German!)f

Active Vitamin D Potentiates the Anti-Neoplastic Effects of Calcium in the Colon: A Cross Talk through the Calcium-Sensing Receptor

Introduction

Colorectal cancer (CRC) is the third major cause of death in almost all regions of the world. However, it is among the most slow-growing cancers of the world, with its roots lying in improper diet in 70-90% of cases. This means it is among the most preventable of cancers. Both epidemiological and clinical studies are supported by experimental evidence that calcium and vitamin levels in the diet are inversely proportional to the risk for CRC, though this evidence is not perfect.

As a result, the Second Expert Report, jointly published by the World Cancer Research Fund and the American Institute for Cancer Research, lists calcium as one of the factors that are most likely responsible for a lowered risk of the disease, but vitamin D has limited supportive evidence, which is nonetheless suggestive of a protective effect.

Studies of colonic mucosa suggest that there is a normal balance between cellular proliferation, differentiation and apoptosis of the mucosal cells which protects against neoplastic proliferation. When this is upset, there is an increased risk of CRC.

This balance is due in part to calcium and vitamin D. The lack of evidence in clinical studies has led to an increased interest in combination chemoprophylaxis based on the concept of a cross talk between calcium and vitamin D molecules. These signals have a protective effect on the development of CRC.

The impetus for this research came from three trials which showed a favorable effect of combined calcium and vitamin D on CRC. A randomized placebo-controlled clinical study by Grau et al showed that the combined administration of calcium and vitamin D brought down the CRC risk.

Holt et al also conducted a trial which demonstrated lower rates of polyp formation in adenoma patients who were on combined calcium and vitamin D supplementation. Mortality from CRC was also lower in patients with high intakes of dietary calcium (928 mg/d or more) and elevated serum 25-hydroxyvitamin D levels.

Vitamin D3 is metabolized by hepatic hydroxylation at the C-25 position to 25-hydroxyvitamin D3 (25-D3) by the enzymes vitamin D 25-hydroxylases CYP2R1 and CYP27A1. This is then bound to vitamin D binding protein (DBP) and transported to the kidney for another hydroxylation at C-1.

This is catalyzed by the enzyme 25-D3 1α-hydroxylase (CYP27B1) and the end-product is vitamin D, 1,25-dihydroxyvitamin D3 (1,25-D3), which is the biologically active form. To smaller extents, 1,25-D3 is produced and broken down at other sites in the body, including the intestine.

How is calcium related to vitamin D? The calcium-sensing receptor, CaSR, is a G-protein coupled receptor whose activity is enhanced by a promoter element that contains two vitamin D response elements (VDRE). In response to vitamin D the CaSR is upregulated, and thus calcium tissue effects are increased.

These effects include calcium homeostasis and cell growth. The latter is key to the present discussion, since one study involving CaSR knockout mice showed hyper-proliferation of the cells lining the colonic crypts and a higher vulnerability to the formation of areas of aberrant crypts.

Loss of CaSR expression is characteristic of advanced undifferentiated tumors. The current experiment is therefore aimed at gathering data to elucidate the role of the CaSR in preventing neoplasia of the colon. It was carried out to assess the extent to which the level of CaSR expression and function affect vitamin D signaling and enhance calcium effects within the colonic mucosa.

Immunohistochemistry

In the present experiment, 4 μm sections were taken and Ki67 stain applied (1:400, Novus Biologicals, USA) with hematoxylin (DAKO, Austria) as counter stain, on a Ventana Discovery XT autostainer (Ventana, USA), after pretreating with cell conditioner 1. The detection system used was the rabbit OmniMap (Ventana). The automated TissueFAXS PLUS system (TissueGnostics, Austria) was used to acquire whole section images.

Square TissueFAXS Plus

To evaluate the sections, at least 10 intact crypts per colon were identified and the percentage of Ki67-positive cells per crypt was quantified in a blinded fashion. Care was taken to include both the ascending and descending colon.

WP CALCIUM

Discussion

While research seems to indicate a role for calcium and vitamin D in preventing, modifying, or reversing neoplastic changes in colonic mucosa, the current experiment is meant to show the effect of a diet with high vitamin D content on proliferation (reduced), differentiation (increased) and apoptosis (increased), along with simultaneous upregulation of the expression of CaSR in the mouse colon.

This mechanistic model may show that molecular cross talk at the level of the calcium and vitamin D occurs directly in the colon via the CaSR, and that this is central to the anti-neoplastic effects of this combination. The gene expression and functionality of CaSR is proportional in turn to the preventive impact of active 1,25-D3 on CRC.

Prior experiments demonstrated a downregulation of the vitamin D catabolic enzyme1,25-dihydroxyvitamin D3 24-hydroxylase (CYP24A1) in the colon of mice who had higher dietary intakes of calcium. On the other hand, a low calcium intake caused colonic crypts to show increased proliferation and low apoptosis rates.

The current experiment was performed in vivo and demonstrated that a high vitamin D intake had much higher CaSR expression, decreased proliferation, and increased differentiation and apoptosis in normal colonic mucosa. The conclusion therefore was that CaSR could well link the cross talk between calcium and vitamin D, which means that their efficiency as combined chemoprophylaxis of CRC depends upon its activation and regulation by this receptor.

TissueGnostics Centers of Exellence

This year TissueGnostics (TG) turns 20! Thanks to the support of our TG product users, collaborators, distributors, and the worldwide TissueGnostics teams, TG has been able to achieve many significant milestones and has enjoyed 20 impactful years full of research, growth, and success. For this reason, TG has put together the 2023 Center of Excellence awards to celebrate and acknowledge our most impactful academic partnerships. 

We are excited to finally announce our first round of Center of Excellence awardees, and to also take this opportunity to thank them again for their many years of partnership, collaborative projects and activities, and of course, publications!

Our first round takes place on the continent where it all began, Europe! However, it wouldn’t be a TissueGnostics Center of Excellence if it didn´t go global. These awards are just the beginning of many more to come, so make sure to stay connected for future updates.

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Downloads

       
TissueFAXS Features Overview.pdf                   1,0 MB 
TissueFAXS V7.1 - NEW FEATURES.pdf    6,3 MB
TissueFAXS V7.1 - Brightfield Experiments - workflow for preview and acquisition.pdf    906 KB
TissueFAXS V7.1 - Fluorescence Experiments - workflow for preview and acquisition.pdf    983 KB
TissueFAXS Viewer V7.1 User Manual.pdf    5,6 MB
     
TissueFAXS SL V7.1 - FUNCTIONAL SUMMARY.pdf    7,5 MB
TissueFAXS SL V7.1 - GENERAL WORKFLOW.pdf    1,9 MB
How to Create Projects in TF SL V7.1.pdf    562 KB
TissueFAXS SL Viewer V7.1 User Manual.pdf    7,7 MB
     
StrataQuest Features Overview.pdf    1,5 MB
StrataQuest V7.1 - FUNCTIONAL SUMMARY.pdf    10,8 MB
StrataQuest V7.1 - NEW FEATURES.pdf    4,4 MB
Multi-Spectral Workflow for TissueFAXS and StrataQuest.pdf    3,9 MB
StrataQuest V7.1 - Quick Start for Brightfield APP.pdf    2,5 MB
StrataQuest V7.1 - Quick Start for CLASSIFIER.pdf    2,1 MB
StrataQuest V7.1 - Quick Start for Fluorescence APP.pdf    3,4 MB
     
HistoQuest Features Overview.pdf    1,0 MB
HistoQuest V7.1 - NEW FEATURES.pdf    2,7 MB
HistoQuest V7.1 - QUICK GUIDE.pdf    8,6 MB
     
TissueQuest Features Overview.pdf    1,0 MB
TissueQuest V7.1 NEW FEATURES.pdf    2,6 MB
TissueQuest V7.1 QUICK GUIDE.pdf    5,8 MB
     

A NETWORK OF PARTNERSHIPS

From the very beginning TissueGnostics developed its products in close cooperation with scientists and research facilities from all over the world to ensure the effectiveness of TissueGnostics systems in everyday laboratory life. Together with Academic and Industrial Partners all over the world TissueGnostics faces the challenges of ever-changing research requirements.

 TissueFAXS Scanning Process

Adipocyte APP: Measurement of cell size

The Adipocyte APP was designed from the ground up to be run in routine by staff untrained in image analysis and image processing. The picture set is loaded into StrataQuest and the results are calculated. The algorithm automatically eliminates adipocytes on the borders from the analysis. Minor membrane tears, inevitable in working with adipose tissue sections, are automatically closed by the analysis algorithm. Larger sections of missing membrane and cell membranes collapsed into the lumina (as seen on the original image) can be drawn in, respectively out using simple manual painting tools. If this needs to be done the analysis merely has to be updated. Results can then be exported as in CSV and Excel format.

Adipocyte APP results:

Adips01app Adips02app

Disclaimer

TissueFAXSplus is a microscope-based cell analysis system for cells in cryocut-, paraffin-sections and/or TMAs. It consists of the software modules “TissueFAXS” combined with either “TissueQUEST” & “HistoQUEST” or with “StrataQUEST” and is used for acquisition of images in the fluorescence and/or brightfield mode, for counting the number of positive and negative cells and for quantification of staining intensities. TissueFAXSplus is used for the standardization of tissue analysis in combination with immunohistochemical and immunofluorescence staining.

TissueFAXSplus does not give any direct diagnosis and there is the possibility that the tissue specimen does not provide enough information for a proper analysis and/or diagnosis. The cell analysis system only measures cellular parameters. Such measurement parameters must in any case be reviewed and validated by a qualified human professional with profound knowledge of the cell analysis system, who has received special training in the operation of cell analysis methods. The cell analysis system can under no circumstances make a decision on the therapy of patients.

The results of the analysis are purely statistical values. Users must re-evaluate images and likelihood of the statistical data. Pure interpretation of statistical data is not allowed.

 Notes:

TissueFAXS FLUO is similar to TissueFAXSplus but is for fluorescence samples only and must not be used with brightfield/immunohistochemical samples. TissueFAXS FLUO consists of the software modules “TissueFAXS” as well as “TissueQUEST” and/or “StrataQUEST FLUO”.

TissueFAXS HISTO is similar to TissueFAXSplus but is for brightfield/immunohistochenical samples only and must not be used with fluorescence samples. TissueFAXS HISTO consists of the software modules “TissueFAXS” as well as “HistoQUEST” and/or “StrataQUEST HISTO”.

- TissueFAXS 200 and TissueFAXS SL are similar to TissueFAXSplus but for batch scanning of up to 200/120 brightfield/immunohistochenical slides. TissueFAXS 200 / TissueFAXS SL consists of the software modules “TissueFAXS 200” / “TissueFAXS SL” as well as “HistoQUEST” and/or “TissueQuest” and/or “StrataQUEST”.

- TissueFAXS SPECTRA is similar to TissueFAXSplus but is for multispectral imaging of fluorescence samples only. Scanning of brightfield/immunohistochenical samples on TissueFAXS SPECTRA is possible with the color camera, if any, but MUST NOT / CANNOT be done with the multi-spectral camera. TissueFAXS SPECTRA consists of the software modules “TissueFAXS SPECTRA” as well as “TissueQUEST” and/or “HistoQuest” and/or “StrataQUEST”. 
Using the unmixing procedure must be done with care as tissue-derived autofluorescence may interfere with the algorithm and cause inconclusive or even faulty output.
Selecting and correctly assigning proper reference spectra is critical for the accuracy of the unmixing result and is the sole responsibility of the user. Selecting wrong reference spectra and/or assigning any reference spectra inappropriately will cause inconclusive / faulty output and thus generate false measurement results!

- StrataQuest provides a software tool for machine learning for the automatic classification of tissue structures, including detection of tumor areas in tissue sections. The results generated by the software have to be verified by a qualified human professional in any case (negative as well as positive results). In case the software does not detect specific histological structures and/or tumor cells, a human professional has to verify this result by other means, as it is possible that certain biological patterns and/or special types of (cancer) cells may not be detected by the automatic detection function. Measurement errors may also occur due to the fact that the cell environment in which the software has to operate is highly variable.

We point out to the fact that the following circumstances/factors might influence and/or impair the result of the analysis to the level where the result rendered might be inconclusive or even faulty:

  • Quality of the tissue sample: In this context, especially the age of the tissue sample is relevant. Long durations between the harvesting and/or staining of the tissue sample and the analysis as well as storage errors can tamper with the outcome of the analysis.
  • Quality of the preparation of the tissue sample for the analysis and the materials used: In this context, especially the type and quality of the reagents and the capability/precision of the person handling the reagents can be relevant and may lead to inconclusive/faulty results (for example: dilution errors concerning the reagents).

These factors (as well as the capability of the human professional performing the validation of the test results) lie solely within the responsibility of the user of the software. TissueGnostics does not take any responsibility for test results that are influenced by one of the above mentioned factors.

Each and any product shall be used only after training performed by TissueGnostics or authorized distributors of TissueGnostics. A list of authorized distributors is available on the TissueGnostics website.

https://tissuegnostics.com/global-network/distributors

The TissueFAXS system and software is FOR RESEARCH USE ONLY.

By using only parts of the system, changing system components (hardware or software) or using the TissueFAXSplus instrument in any other than the intended way it was designed for, the CE declaration becomes invalid.

 
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TissueGnostics GmbH
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+43 1 216 11 90
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