Published Work

Plasmonic Nanoparticle-based Digital Cytometry to Quantify MUC16 Binding on the Surface of Leukocytes in Ovarian Cancer

Journal10 septiembre, 2020

Sierra Research’s team has developed the algorithms that lead to the data of the following article: https://pubs.acs.org/doi/abs/10.1021/acssensors.0c00567 Plasmonic nanoparticles conjugated with anti-CA125 antibody were used to quantify MUC16 binding on leukocytes of ovarian cancer patients. Results show an elevated presence of MUC16 on ovarian cnacer patients with respect to healthy controls. Further, the assay was…

Detalles

Computer Aided Detection of Pulmonary Embolism Using Multi-slice Multi-axial Segmentation

Journal10 septiembre, 2020

Can AI detect pulmonary emboli from CT scans? In a recent publication Sierra Research has teamed up with Universidad de Alicante to develop AI models for the detection of pulmonary emboli. We ranked top on the cad-pe challenge! Paper: https://www.mdpi.com/2076-3417/10/8/2945 Abstract: Pulmonary Embolism (PE) is a respiratory disease caused by blood clots lodged in the…

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Biomarker Localization from Deep Learning Regression Networks

Journal5 febrero, 2020

Can a regression network produce an accurate localization mask? In this research we prove such is the case. From the value of the a volume or area biomarker we are able to infer with high accuracy the structures that lead to it. Please see details in the Transactions on Medical Imaging journal paper https://ieeexplore.ieee.org/document/8954767 .…

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H-EM

Journal6 agosto, 2019

H-EM: an algorithm for simultaneous cell diameter and intensity quantification in low-resolution imaging cytometry Sierra’s Researcher in collaboration with URJC and Madrid-MIT M+Vision Consortium have published a PlosOne paper on low-resolution cell analysis. You can find the whole article at: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0222265

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Localizing Image-based biomarker regression without training masks: a new approach to biomarker discovery

Conference6 abril, 2019

Can artificial intelligence regression networks locate the regions of interest from whom they are obtaining their value? In this conference article, Sierra’s researchers explore such question. From Computer Tomography axial slices obtained at the level of the transversal aorta, and the areas of their pectoralis muscle and subcutaneous fat, we have been able to perform…

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Quantification of Low Abundance White Cell Surface Molecules in Ovarian Cancer by Dark Field and Fluorescence Microscopy

Abstract14 febrero, 2019

OSA CONFERENCE ABSTRACT Darkfield microscopy demonstrated that MUC16 shed from ovarian cancer tumors is present on the surface of white cells, and when quantified in a patient for two years was predictive of the disease course.

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