Andre Forjaz

Mar 12, 2024 | biorxiv.org | Saurabh Joshi |Andre Forjaz |Yu Shen |Vasco Queiroga

AbstractThe development of novel imaging platforms has improved our ability to collect and analyze large three-dimensional (3D) biological imaging datasets. Advances in computing have led to an ability to extract complex spatial information from these data, such as the composition, morphology, and interactions of multi-cellular structures, rare events, and integration of multi-modal features combining anatomical, molecular, and transcriptomic (among other) information.

Mar 10, 2024 | biorxiv.org | Saurabh Joshi |Andre Forjaz |Yu Shen |Daniel Xenes

AbstractThe development of novel imaging platforms has improved our ability to collect and analyze large three-dimensional (3D) biological imaging datasets. Advances in computing have led to an ability to extract complex spatial information from these data, such as the composition, morphology, and interactions of multi-cellular structures, rare events, and integration of multi-modal features combining anatomical, molecular, and transcriptomic (among other) information.

Feb 3, 2024 | biorxiv.org | Andre Forjaz |Eduarda Vaz |Valentina Romero |Saurabh Joshi

AbstractMethods for spatially resolved cellular profiling using thinly cut sections have enabled in-depth quantitative tissue mapping to study inter-sample and intra-sample differences in normal human anatomy and disease onset and progression. These methods often profile extremely limited regions, which may impact the evaluation of heterogeneity due to tissue sub-sampling.

Dec 6, 2023 | biorxiv.org | Andre Forjaz |Valentina Romero |Saurabh Joshi |Eduarda Vaz

AbstractMethods for partially resolved cellular profiling has enabled in-depth quantitative tissue mapping via thinly cut sections to study inter-patient and intra-patient differences in normal human anatomy and disease onset and progression. These methods often profile extremely limited spatial regions, which may impact the evaluation of heterogeneity due to tissue sub-sampling.