Automated assessment of human engineered heart tissues using deep learning and template matching for segmentation and tracking.

The high rate of drug withdrawal from the market due to cardiovascular toxicity or lack of efficacy, the economic burden, and extremely long time before a compound reaches the market, have increased the relevance of human in vitro models like human (patient-derived) pluripotent stem cell (hPSC)-derived engineered heart tissues (EHTs) for the evaluation of the efficacy and toxicity of compounds at the early phase in the drug development pipeline. Consequently, the EHT contractile properties are highly relevant parameters for the analysis of cardiotoxicity, disease phenotype, and longitudinal measurements of cardiac function over time. In this study, we developed and validated the software HAARTA (Highly Accurate, Automatic and Robust Tracking Algorithm), which automatically analyzes contractile properties of EHTs by segmenting and tracking brightfield videos, using deep learning and template matching with sub-pixel precision.

Contractility analysis of human engineered 3D heart tissues by an automatic tracking technique using a standalone application.

The use of Engineered Heart Tissues (EHT) as in vitro model for disease modeling and drug screening has increased, as they provide important insight into the genetic mechanisms, cardiac toxicity or drug responses. Consequently, this has highlighted the need for a standardized, unbiased, robust and automatic way to analyze hallmark physiological features of EHTs. In this study we described and validated a standalone application to analyze physiological features of EHTs in an automatic, robust, and unbiased way, using low computational time.

A New Versatile Platform for Assessment of Improved Cardiac Performance in Human-Engineered Heart Tissues.

Cardiomyocytes derived from human pluripotent stem cells (hPSC-CMs) hold a great potential as human in vitro models for studying heart disease and for drug safety screening. Nevertheless, their associated immaturity relative to the adult myocardium limits their utility in cardiac research. In this study, we describe the development of a platform for generating three-dimensional engineered heart tissues (EHTs) from hPSC-CMs for the measurement of force while under mechanical and electrical stimulation.

Different Balance of Wnt Signaling in Adult and Fetal Bone Marrow-Derived Mesenchymal Stromal Cells.

Mesenchymal stromal cells (MSCs) are applied as novel therapeutics for their regenerative and immune-suppressive capacities. Clinical applications, however, require extensive expansion of MSCs. Fetal bone marrow-derived MSCs (FBMSCs) proliferate faster than adult bone marrow-derived MSC (ABMSCs).

The composition of the mesenchymal stromal cell compartment in human bone marrow changes during development and aging.

Life-long hematopoiesis depends on the support of mesenchymal stromal cells within the bone marrow. Therefore, changes in the hematopoietic compartment that occur during development and aging probably correlate with variation in the composition of the stromal cell microenvironment. Mesenchymal stromal cells are a heterogeneous cell population and various subtypes may have different functions.

A microfluidic wound-healing assay for quantifying endothelial cell migration.

Endothelial migration is an important process in the formation of blood vessels and the repair of damaged tissue. To study this process in the laboratory, versatile and reliable migration assays are essential. The purpose of this study was to investigate whether the microfluidic version of the conventional wound-healing assay is a useful research tool for vascular science.