The next free educational webinar on digital pathology topics is happening on 22nd October 2024.
The second webinar is all about Laboratory Implementation and Pathologist Validation.
Please register here: https://t.co/4Jxx4mHFzt
Proud to share our recent publication on patient and public involvement in digital and computational pathology, which was co-created with our Patient and Public Advisory Group.
Patient and public involvement in digital and computational pathology (https://t.co/4KBLMyLMsM)
We are proud to announce a groundbreaking partnership with @cellpathltd to facilitate onsite digital pathology scanning of archival pathology slides.
https://t.co/uUo8NbnmY7
Registration is now open for the next instalment in the rerun of our free webinar series. The theme is IT Infrastructure and DICOM. Please register here: https://t.co/CJK29IVLPz
Registration is now open for the next instalment in the rerun of our free webinar series.
The theme is Quality Assurance in Digital Pathology: A Focus on Stain, Scanner, Physical Quality and Display.
Register here: https://t.co/93sNtGSoNW
Register now for our @npicdigital webinar series- we continue with "AI and its Ethical Challenges in Digital Pathology" with Drs Bethany Williams, Alex Wright and Francis McKay on 7 May
FREE registration here.. https://t.co/hF83a5DYaZ
Delighted to share our new @QubPMC study on #SARSCoV2's impact on the adaptive immune response. A validated multiplex immunofluorescence (#mIF) protocol using @AkoyaBio chemistry enables molecular physiopathology exploration in autopsy materials. https://t.co/451z09jSyu
Delighted to share this first first-author publication. A big thank you to all involved especially @DrMattHumphries "PD-L1 Multiplex and Quantitative Image Analysis for Molecular Diagnostics" #mdpicancers via @Cancers_MDPI https://t.co/5ix8YAlKaO via @MDPIOpenAccess
Delighted to see our paper in @MDPIOpenAccess on #Multiplex and #ImageAnalysis for Molecular Diagnostics made the journal front cover!
Check it out 👇
https://t.co/4V3CqVY6rM
A nice #Christmas present... Our 2nd Cancers @MDPIOpenAccess paper of 2020 published in the Special Issue – ‘Surgical Pathology in the Digital Era’. We used @AkoyaBio#Multiplex panels & #DigitalPathology to quantify PD-L1 for Molecular Diagnostics
https://t.co/zZt0CraTbh
Delighted to share this first first-author publication. A big thank you to all involved especially @DrMattHumphries "PD-L1 Multiplex and Quantitative Image Analysis for Molecular Diagnostics" #mdpicancers via @Cancers_MDPI https://t.co/5ix8YAlKaO via @MDPIOpenAccess