Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 28, 2026

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

MIAAIM: Multi-omics image integration with dimensional reduction for tissue state mapping.

Joshua M Hess^1,2, Richard K Dzeng^1,3, Iulian Ilieş⁴

¹Vaccine and Immunotherapy Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.

Plos Computational Biology

|May 26, 2026

Related Concept Videos

Imaging Biological Samples with Optical Microscopy

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Applying ensemble machine learning techniques to MRI scans to predict Alzheimer's disease.

Scientific reports·2026

Same author

LATS1/2-CD38 Metabolic Rewiring Links Senescence to Intraplaque Thrombosis.

Circulation research·2026

Same author

H3K27M-driven hypertranscription leads to a new targetable dependency in diffuse midline gliomas.

bioRxiv : the preprint server for biology·2026

Same author

International Society of Urological Pathology Consensus on Cancer Precursor Lesions: Working Group 3 Preneoplastic and Precursor Lesions of the Kidney.

The American journal of surgical pathology·2026

Same author

Nitrogen metabolism profiling reveals cell state-specific pyrimidine synthesis pathway choice.

Nature metabolism·2026

Same author

Comparison and optimization of cellular neighbor preference methods for quantitative tissue analysis.

Nature communications·2026

Same journal

Evaluating vectors for the design of a spillover-disrupting Lassa virus transmissible vaccine.

PLoS computational biology·2026

Same journal

Single-threshold-guided adaptive cancer therapy with partial-cycle treatment: A mechanistic and reinforcement learning analysis.

PLoS computational biology·2026

Same journal

scRADAR: Dissecting intratumoral drug response heterogeneity at single-cell resolution via mechanism-guided prototype routing.

PLoS computational biology·2026

Same journal

On the conditions for shifts in metabolic strategies.

PLoS computational biology·2026

Same journal

Quantitative anatomy and biophysical modeling of ascending neuromodulatory systems in the developing rat neocortex.

PLoS computational biology·2026

Same journal

Predicting continuous outcomes: Some new tests of associative approaches to contingency learning.

PLoS computational biology·2026

See all related articles

Summary

This summary is machine-generated.

A new framework, Multi-omics Image Alignment and Analysis by Information Manifolds (MIAAIM), integrates diverse tissue imaging data. This enables detailed spatial profiling of cells and molecules, revealing disease-specific immune cell signatures and improving cancer grading.

Area of Science:

Biomedical Imaging
Computational Biology
Molecular Pathology

Background:

High-parameter tissue imaging offers detailed single-cell molecular analysis within spatial contexts.
Integrating data from diverse imaging platforms with varying resolutions and biomolecule quantification remains a challenge for comprehensive spatial profiling.

Purpose of the Study:

To introduce MIAAIM (Multi-omics Image Alignment and Analysis by Information Manifolds), a modular framework for aligning and processing data from distinct imaging technologies.
To enable unbiased molecular phenotype identification correlated with cell identities and states using high-resolution immunodetection.
To construct multimodal tissue imaging datasets for analyzing complex tissue states and cell-molecule associations.

Main Methods:

Development of MIAAIM, a modular framework for aligning and processing multi-modal imaging data.

Related Experiment Videos

Last Updated: May 28, 2026

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

Application to clinical biopsies including histological staining, imaging mass cytometry, and mass spectrometry imaging.

Integration of spatial features from segmented cells across modalities for analysis.

Main Results:

MIAAIM successfully aligned and analyzed data from disparate imaging platforms with varying resolutions and complexities.
In diabetic foot ulcer biopsies, unique molecular characteristics of immune cells were identified based on local tissue health.
In prostate cancer TMAs, MIAAIM achieved >90% accuracy in classifying tumor grades, largely driven by spatial features, and identified novel immune signatures.

Conclusions:

MIAAIM provides a general, agnostic framework for constructing multimodal tissue imaging datasets.
The framework facilitates novel insights into molecular analyte associations with cell subsets and activation states.
MIAAIM enhances the analysis of complex tissue states and disease mechanisms through integrated spatial and molecular profiling.