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BiorXiv, August 2023

NanoPyx: super-fast bioimage analysis powered byadaptive machine learning

Bruno M. Saraiva, Inês M. Cunha, António D. Brito, Gautier Follain, Raquel Portela, Robert Haase, Pedro M. Pereira, Guillaume Jacquemet, Ricardo Henriques

Tags
  • dSTORM

Science advances, September 2023

ATP1A3 as a target for isolating neuron-specific extracellular vesicles from human brain and biofluids

Yang You, Zhengrong Zhang, NadiaSultana, MariaEricsson, YukaA. Martens, Min Sun,TakahisaKanekiyo, Seiko Ikezu, ScottA. Shaffer, Tsuneya Ikezu

Tags
  • Extracellular vesicles
  • dSTORM

Micromachines, September 2023

Rapid Production of Nanoscale Liposomes Using a 3D-Printed Reactor-In-A-Centrifuge: Formulation, Characterisation, and Super-Resolution Imaging

He Y, Grandi DD, Chandradoss S, LuTheryn G, Cidonio G, Nunes Bastos R, Pereno V, Carugo D. Rapid

Tags
  • Extracellular vesicles
  • dSTORM

Journal of translational medicine, August 2023

Adipose stromal cells bioproducts as cell-freetherapies: manufacturing and therapeutic dosedetermine in vitro functionality

Renata Skovronova Eleonora Scaccia Sandra Calcat-i-Cervera Benedetta Bussolati Timothy O’Brien Karen Bieback

Tags
  • Extracellular vesicles
  • dSTORM

Webinar "Tips & Tricks - Revealing spatial information at the nanoscale in clinical tissue samples using SMLM"

  • Immuno-oncology
  • dSTORM
  • SMLM
Tips & Tricks

Nature communication, August 2023

HIV-1-induced nuclear invaginations mediated by VAP-A, ORP3, and Rab7 complex explain infection of activated T cells

Mark F. Santos, Germana Rappa, Jana Karbanová, Patrizia Diana, Girolamo Cirrincione, Daniela Carbone, David Manna, Feryal Aalam, David Wang, Cheryl Vanier, Denis Corbeil & Aurelio Lorico

Tags
  • Extracellular vesicles
  • dSTORM

Nature Machine Intelligence, August 2023

Prediction of mechanistic subtypes of Parkinson’s using patient-derived stem cell models

Karishma D’Sa, James R. Evans, Gurvir S. Virdi, Giulia Vecchi, Alexander Adam, Ottavia Bertolli, James Fleming, Hojong Chang, Craig Leighton, Mathew H. Horrocks, Dilan Athauda, Minee L. Choi & Sonia Gandhi

Tags
  • Neuroscience
  • dSTORM

BiorXiv, August 2023

NanoPyx: super-fast bioimage analysispowered by adaptive machine learning

Bruno M. Saraiva, Inês M. Cunha, António D. Brito, Gautier Follain, Raquel Portela, Robert Haase, Pedro M. Pereira, Guillaume Jacquemet, Ricardo Henriques

Tags
  • dSTORM

Nano Today, August 2023

Nanoscopic and functional characterization of keratinocyte-originating exosomes in the wound fluid of non-diabetic and diabetic chronic wound patients

Poornachander R. Guda, Anu Sharma, Adam J. Anthony, Mohamed S. El Masry, Andrew D. Couse, Piya Das Ghatak, Amitava Das, Lava Timsina, Jonathan C. Trinidad, Sashwati Roy, David E. Clemmer, Chandan K. Sen, Subhadip Ghatak

Tags
  • Extracellular vesicles
  • dSTORM

Webinar "Tips & Tricks - Using Single Molecule Imaging to Accelerate Life Science Research"

  • Cell phenotyping
  • Extracellular vesicles
  • Immuno-oncology
  • Nanotechnology
  • Virology
  • dSTORM
  • Live Imaging
  • Single-Particle Tracking
  • smFRET
  • SMLM
Tips & Tricks

Designing your first dSTORM or DNA-PAINT experiment: essential imaging controls

  • dSTORM
  • PAINT
  • SMLM
Tips & Tricks

BioRxiv, June 2023

Two-color coincidence single-molecule pull-down for the specific detection of disease-associated protein aggregates

Rebecca S. Saleeb, Craig Leighton, Ji-Eun Lee, Judi O’Shaughnessy, Kiani Jeacock, Alexandre Chappard, Robyn Cumberland, Sarah R. Ball, Margaret Sunde, David J. Clarke, Kristin Piché, Jacob A. McPhail, Ariel Louwrier, Rachel Angers, Sonia Gandhi, Patrick Downey, Tilo Kunath, Mathew H. Horrocks

Tags
  • dSTORM