Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging

Du Z*, Lin JR*, Rashid R*, Maliga Z, Wang S, Aster J, Izar B, Sorger PK, Santagata S. (*co-1st author)

Nat Protoc. 2019 Oct; 14(10): 2900-2930. PMID: 31534232.

Raw Data | Publisher Page

Available images

TONSIL_1.jpg
TONSIL

Representative t-CyCIF image acquired from a formalin-fixed, paraffin-embedded (FFPE) human tonsil tissue section stitched together using ASHLAR software from 224 fields acquired using a 40X/0.6NA objective.

CyCIF tonsil image
TONSIL_IHC.jpg
IHC Tonsil Sections

IHC tonsil sections
LUNG_3.jpg
LUNG-3-PR: Primary lung squamous cell carcinoma

Representative t-CyCIF image of a squamous cell carcinoma of the lung stitched together using ASHLAR software from 132 fields using a 40X/0.6NA objective.

CyCIF lung-3 image
LUNG_1.jpg
LUNG-1-LN: Lung adenocarcinoma metastasis to lymph node

Representative t-CyCIF image of a lung adenocarcinoma metastasis to a lymph node stitched together using ASHLAR software from 80 fields using a 40X/0.6NA objective.

CyCIF lung-1 image
LUNG_2.jpg
LUNG-2-BR: Lung squamous cell carcinoma metastasis to brain

Representative t-CyCIF image of a lung squamous cell carcinoma metastasis to the brain stitched together using ASHLAR software from 187 fields using a 40X/0.6NA objective.

CyCIF lung-2 image

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Funded by NIH grants P50-GM107618, U54-HL127365, U2C-CA233262, U2C-CA233280, U54-CA225088, the Ludwig Center at Harvard, and the Ludwig Cancer Research Foundation
©2020, Laboratory of Systems Pharmacology. All rights reserved.
Please cite this resource as CyCIF.org, RRID:SCR_016267