BioParity.UFO / UAP research

9 sources for “Multiplexed imaging”

Results

PaperS7553

Strategies for Accurate Cell Type Identification in CODEX Multiplexed Imaging Data

John W. Hickey, Yuqi Tan, Garry P. Nolan, Yury Goltsev. ebi.ac.uk. August 13, 2021.

The study compares 20 cell-annotation pipelines using four healthy-colon tissue blocks from one donor. Agreement improves with broader labels, but both reference sets use the same images and one explicitly favors a pipeline being evaluated. The authors recommend checking expression patterns and image locations when assigning cell types. Marker counts, a worked F-score example and several caption or settings inconsistencies remain documented. These results do not establish universal clinical accuracy or a UAP connection.

Supplied text and scoped apparatus read
PaperS7561

Highly Multiplexed Phenotyping of Immunoregulatory Proteins in the Tumor Microenvironment by CODEX Tissue Imaging

Darci Phillips, Christian M Schürch, Michael S Khodadoust, Youn H Kim, Garry P Nolan, Sizun Jiang. ebi.ac.uk. May 19, 2021.

The authors develop a multiplexed imaging panel using eight previously treated tumor specimens. The 25,456 analyzed cells are nested within eight sampled cores, rather than independent patients. Cell types combine clustering with manual refinement; spatial marker patterns do not establish functional causation or clinical treatment prediction. Nolan supervised and revised the study, while Jiang is corresponding author. Channel labels, figure pointers and plotted units remain inconsistent in the supplied source.

Complete supplied text and received apparatus read
PaperS7560

Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction

Julia Kennedy‐Darling, Salil S Bhate, John W Hickey, Sarah Black, Graham L Barlow, Gustavo Vazquez, Vishal G Venkataraaman, Nikolay Samusik, Yury Goltsev, Christian M Schürch, Garry P Nolan. ebi.ac.uk. March 10, 2021.

The authors demonstrate repeated three-color imaging of DNA-tagged antibodies on five human tissue sections from five donors. Millions of segmented cells do not become independent human subjects. Barcode and repeated-cycle validation experiments each have one experimental replicate. Cell-type assignment and spatial associations depend on segmentation, markers and manual annotation. Barcode counts, omitted sequences, reagent labels, geometry and timing remain inconsistent in the supplied material. Nolan is a cosenior and corresponding coauthor.

Complete supplied text and received apparatus read
PaperS7562

MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure

Leeat Keren, Marc Bosse, Steve Thompson, Tyler Risom, Kausalia Vijayaragavan, Erin McCaffrey, Diana Marquez, Roshan Angoshtari, Noah F. Greenwald, Harris Fienberg, Jennifer Wang, Neeraja Kambham, David Kirkwood, Garry Nolan, Thomas J. Montine, Stephen J. Galli, Robert West, Sean C. Bendall, Michael Angelo. ebi.ac.uk. October 9, 2019.

The authors describe a multiplexed tissue-imaging instrument and its performance under specific settings. The main tumor demonstration uses one patient, eight regions and 11,120 nested cells; a 41-patient comparison reuses earlier work. Static spatial patterns do not establish causal immune recruitment or clinical prediction. Nolan supported the work and held patent and shareholder interests. Sensitivity, depth counts, figure settings and panel recipes contain unresolved inconsistencies.

Complete supplied text and defined static apparatus read
PaperS7614

Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging

Yury Goltsev, Nikolay Samusik, Julia Kennedy-Darling, Salil Bhate, Matthew Hale, Gustavo Vazquez, Sarah Black, Garry P. Nolan. ebi.ac.uk. August 9, 2018.

CODEX imaging maps cells and neighborhoods in nine mouse spleens. Most changing contacts track cell abundance rather than stronger inferred interactions. Neighborhood associations leave causal direction open. Image classification used test-set patches for tuning, and reported precision is not clinical accuracy. Financial interests and processing limits are retained.

Complete supplied main, figures, S1/S2 cells and S4 PDF
PaperS7683

Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology

Yunhao Bai, Bokai Zhu, John-Paul Oliveria, Bryan J. Cannon, Dorien Feyaerts, Marc Bosse, Kausalia Vijayaragavan, Noah F. Greenwald, Darci Phillips, Christian M. Schürch, Samuel M. Naik, Edward A. Ganio, Brice Gaudilliere, Scott J. Rodig, Michael B. Miller, Michael Angelo, Sean C. Bendall, Xavier Rovira-Clavé, Garry P. Nolan, Sizun Jiang. pmc.ncbi.nlm.nih.gov. July 7, 2023.

This proof-of-concept study introduces ExPRESSO for higher-resolution imaging of archived tissue on existing mass-spectrometry platforms. The reported lateral enlargement is about 3.7-fold, with axial compression, edge distortion and marker-specific signal limits. Alzheimer’s examples use six individuals, not hundreds of patients; vessel counts and image fields are nested observations. Nolan’s disclosed FDA funding and instrument-company interests are explicit. The study does not report UAP patients, a secret government approach or a clinical diagnostic trial.

Complete supplied XML text; original figures and supplements unreviewed
PaperS7520

Highly multiplexed spatial profiling with CODEX: bioinformatic analysis and application in human disease

Wilson Kuswanto, Garry Nolan, Guolan Lu. ebi.ac.uk. November 21, 2022.

This narrative review explains CODEX tissue imaging, processing limitations and spatial analysis. Its disease examples summarize cited studies; they do not supply a new patient cohort or independent replication. The review calls for stronger causal and prospective validation.

Supplied review text and qualified figures read
PaperS7555

CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images

Michael Y. Lee, Jacob S. Bedia, Salil S. Bhate, Graham L. Barlow, Darci Phillips, Wendy J. Fantl, Garry P. Nolan, Christian M. Schürch. ebi.ac.uk. January 18, 2022.

CellSeg combines a pretrained nucleus-segmentation model with image scaling, stitching, mask expansion and pixel statistics. Historical benchmark scores and representative tissue examples have different provenance and settings; densely packed tissue remains difficult. A colorectal comparison reuses 140 samples from 35 people and provides author-described gating and correlation. Correlation does not establish exhaustive cell truth or universal clinical accuracy. Source-native metric definitions, count conflicts and caption errors are preserved.

Supplied text and six figures read
PaperS7550

Adjacent Cell Marker Lateral Spillover Compensation and Reinforcement for Multiplexed Images

Yunhao Bai, Bokai Zhu, Xavier Rovira-Clave, Han Chen, Maxim Markovic, Chi Ngai Chan, Tung-Hung Su, David R. McIlwain, Jacob D. Estes, Leeat Keren, Garry P. Nolan, Sizun Jiang. ebi.ac.uk. July 5, 2021.

REDSEA compensates signal leakage between adjacent segmented cells. Published tests compare correction choices against a fallible manual reference and reused imaging data. Retaining signal and removing ambiguous classifications involve tradeoffs; poor segmentation and several other contamination mechanisms remain unresolved. Source counts, caption panels, equation notation and channel lists conflict. Nolan’s declared instrument-company financial interest and funding disclaimer remain part of the evidence.

Supplied article and published supplements read

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