R42MH124566
Project Grant
Overview
Grant Description
NeuroExM - Abstract
This project describes the development of NeuroExM™, a highly innovative system for performing comprehensive spatial distribution analysis of populations of messenger RNAs (mRNAs) and proteins in tissue processed for Expansion Microscopy (ExM). The groundbreaking technological advantage of ExM, recently developed by Dr. Edward S. Boyden and colleagues, is the ability to isotropically expand tissue and increase the size of biological structures. This allows nanoscale-resolution, light-microscopic imaging of small objects that are too small to be resolved without expansion due to the diffraction limit of light. Among other benefits, ExM allows these small structures to be imaged with a wider range of microscopy techniques.
Processing tissue for ExM also allows repeated hybridization (for investigations of mRNAs) and/or repeated antibody staining (for investigations of proteins) of the same tissue, combined with repeated microscopic imaging rounds. Each round yields adjacent, high-magnification, single field-of-view image stacks, consisting of at least one morphology reference channel showing neuronal sub-cellular structures (somas, axons, dendrites, dendritic spines, synapses) as well as one or several info channels showing mRNAs and/or proteins. Comprehensive analysis of the spatial distribution of populations of mRNAs and proteins in neurons in situ requires assembling the image stacks of all performed rounds into a single, seamless and aligned, three-dimensional (3D) ExM image, which is high-dimensional and can be several terabytes in size. However, this presents a number of computational challenges with respect to microscopy image registration, segmentation, and analysis.
The game-changing innovation in NeuroExM is the ability to perform all of these tasks without the need to have a computer scientist on staff to run the existing, individual lab-based software scripts developed for each step of this kind of complex analysis. This is made possible by implementing a number of significant technical innovations into NeuroExM. Based on pilot work performed in collaboration with the Boyden Lab during preparation of this proposal, we are convinced that NeuroExM will make a significant impact on the field of neuroscience research. Specifically, the combination of ExM and NeuroExM will enable substantial advancements in research studies focusing on alterations in the spatial transcriptome and proteome of neurons associated with neurodevelopmental, neuropsychiatric, neurodegenerative, and neurological disorders, as well as in aging research and drug development. Ultimately, this will result in an improved basis for developing novel treatment strategies for a wide spectrum of complex brain diseases.
In Phase I, we will demonstrate feasibility of this novel technology by developing prototype software. Work in Phase II will focus on creating the full functionality of NeuroExM for commercial release. We will perform extensive feasibility studies, product validation, and usability studies of NeuroExM in close collaboration with the Boyden Lab. A competing technology is not available.
This project describes the development of NeuroExM™, a highly innovative system for performing comprehensive spatial distribution analysis of populations of messenger RNAs (mRNAs) and proteins in tissue processed for Expansion Microscopy (ExM). The groundbreaking technological advantage of ExM, recently developed by Dr. Edward S. Boyden and colleagues, is the ability to isotropically expand tissue and increase the size of biological structures. This allows nanoscale-resolution, light-microscopic imaging of small objects that are too small to be resolved without expansion due to the diffraction limit of light. Among other benefits, ExM allows these small structures to be imaged with a wider range of microscopy techniques.
Processing tissue for ExM also allows repeated hybridization (for investigations of mRNAs) and/or repeated antibody staining (for investigations of proteins) of the same tissue, combined with repeated microscopic imaging rounds. Each round yields adjacent, high-magnification, single field-of-view image stacks, consisting of at least one morphology reference channel showing neuronal sub-cellular structures (somas, axons, dendrites, dendritic spines, synapses) as well as one or several info channels showing mRNAs and/or proteins. Comprehensive analysis of the spatial distribution of populations of mRNAs and proteins in neurons in situ requires assembling the image stacks of all performed rounds into a single, seamless and aligned, three-dimensional (3D) ExM image, which is high-dimensional and can be several terabytes in size. However, this presents a number of computational challenges with respect to microscopy image registration, segmentation, and analysis.
The game-changing innovation in NeuroExM is the ability to perform all of these tasks without the need to have a computer scientist on staff to run the existing, individual lab-based software scripts developed for each step of this kind of complex analysis. This is made possible by implementing a number of significant technical innovations into NeuroExM. Based on pilot work performed in collaboration with the Boyden Lab during preparation of this proposal, we are convinced that NeuroExM will make a significant impact on the field of neuroscience research. Specifically, the combination of ExM and NeuroExM will enable substantial advancements in research studies focusing on alterations in the spatial transcriptome and proteome of neurons associated with neurodevelopmental, neuropsychiatric, neurodegenerative, and neurological disorders, as well as in aging research and drug development. Ultimately, this will result in an improved basis for developing novel treatment strategies for a wide spectrum of complex brain diseases.
In Phase I, we will demonstrate feasibility of this novel technology by developing prototype software. Work in Phase II will focus on creating the full functionality of NeuroExM for commercial release. We will perform extensive feasibility studies, product validation, and usability studies of NeuroExM in close collaboration with the Boyden Lab. A competing technology is not available.
Awardee
Funding Goals
THE MISSION OF THE NATIONAL INSTITUTE OF MENTAL HEALTH (NIMH) IS TO TRANSFORM THE UNDERSTANDING AND TREATMENT OF MENTAL ILLNESSES THROUGH BASIC AND CLINICAL RESEARCH, PAVING THE WAY FOR PREVENTION, RECOVERY, AND CURE. IN MAY 2020, NIMH RELEASED ITS NEW STRATEGIC PLAN FOR RESEARCH. THE NEW STRATEGIC PLAN BUILDS ON THE SUCCESSES OF PREVIOUS NIMH STRATEGIC PLANS BY PROVIDING A FRAMEWORK FOR SCIENTIFIC RESEARCH AND EXPLORATION, AND ADDRESSING NEW CHALLENGES IN MENTAL HEALTH. THE NEW STRATEGIC PLAN OUTLINES FOUR HIGH-LEVEL GOALS: GOAL 1: DEFINE THE BRAIN MECHANISMS UNDERLYING COMPLEX BEHAVIORS GOAL 2: EXAMINE MENTAL ILLNESS TRAJECTORIES ACROSS THE LIFESPAN GOAL 3: STRIVE FOR PREVENTION AND CURES GOAL 4: STRENGTHEN THE PUBLIC HEALTH IMPACT OF NIMH-SUPPORTED RESEARCH THESE FOUR GOALS FORM A BROAD ROADMAP FOR THE INSTITUTE'S RESEARCH PRIORITIES OVER THE NEXT FIVE YEARS, BEGINNING WITH THE FUNDAMENTAL SCIENCE OF THE BRAIN AND BEHAVIOR, AND EXTENDING THROUGH EVIDENCE-BASED SERVICES THAT IMPROVE PUBLIC HEALTH OUTCOMES. THE INSTITUTE'S OVERALL FUNDING STRATEGY IS TO SUPPORT A BROAD SPECTRUM OF INVESTIGATOR-INITIATED RESEARCH IN FUNDAMENTAL SCIENCE, WITH INCREASING USE OF INSTITUTE-SOLICITED INITIATIVES FOR APPLIED RESEARCH WHERE PUBLIC HEALTH IMPACT IS A SHORT-TERM MEASURE OF SUCCESS. THE NEW STRATEGIC PLAN ALSO ADDRESSES A NUMBER OF CROSS-CUTTING THEMES THAT ARE RELEVANT TO ALL RESEARCH SUPPORTED BY NIMH, THESE THEMES HIGHLIGHT AREAS WHERE NIMH-FUNDED SCIENCE MAY HAVE THE GREATEST IMPACT, BRIDGE GAPS, AND OFFER NOVEL APPROACHES TO ACCELERATE ADVANCES IN MENTAL HEALTH RESEARCH. FOR EXAMPLE, NIMH VALUES A COMPREHENSIVE RESEARCH AGENDA THAT TAKES AN INCLUSIVE APPROACH THAT ENSURES RESEARCH INTERESTS ARE VARIED, MAINTAIN DIVERSE PARTICIPATION AND PARTNERSHIPS, AND ACHIEVE RESEARCH GOALS ACROSS MULTIPLE TIMEFRAMES. THIS INCLUDES DIVERSE METHODOLOGIES, TOOLS, AND MODELS, RESEARCH ADDRESSING COMPLEX BASIC, TRANSLATIONAL, AND APPLIED QUESTIONS, RESEARCH INCLUDING BOTH SEXES AND, AS APPROPRIATE, GENETIC BACKGROUND, AND, PARTICIPANTS FROM DIVERSE RACIAL AND ETHNIC BACKGROUNDS, AND ACROSS GENDER IDENTITIES, GEOGRAPHICAL CONTEXT, SOCIOECONOMIC STATUS, NEUROTYPE, AND AGE OFFERING THE BEST POSSIBLE REPRESENTATION, FOR THE BROADEST NUMBER OF INDIVIDUALS WHO MAY ULTIMATELY BENEFIT FROM THESE SCIENTIFIC ADVANCES. TO ACCOMPLISH THE GOALS OUTLINED IN THE NEW STRATEGIC PLAN, NIMH WILL SUPPORT RESEARCH THAT AIMS: TO CHARACTERIZE THE GENOMIC, MOLECULAR, CELLULAR, AND CIRCUIT COMPONENTS CONTRIBUTING TO BRAIN ORGANIZATION AND FUNCTION, TO IDENTIFY THE DEVELOPMENTAL, FUNCTIONAL, AND REGULATORY MECHANISMS RELEVANT TO COGNITIVE, AFFECTIVE, AND SOCIAL DOMAINS, ACROSS UNITS OF ANALYSIS, AND, TO GENERATE AND VALIDATE NOVEL TOOLS, TECHNIQUES, AND MEASURES TO QUANTIFY CHANGES IN THE ACTIVITY OF MOLECULES, CELLS, CIRCUITS, AND CONNECTOMES. TO DISCOVER GENE VARIANTS AND OTHER GENOMIC ELEMENTS THAT CONTRIBUTE TO THE DEVELOPMENT OF MENTAL ILLNESSES IN DIVERSE POPULATIONS, TO ADVANCE OUR UNDERSTANDING OF THE COMPLEX ETIOLOGY OF MENTAL ILLNESSES USING MOLECULAR EPIDEMIOLOGIC APPROACHES THAT INCORPORATE INDIVIDUAL GENETIC INFORMATION IN LARGE COHORTS, TO ELUCIDATE HOW HUMAN GENETIC VARIATION AFFECTS THE COORDINATION OF MOLECULAR, CELLULAR, AND PHYSIOLOGICAL NETWORKS SUPPORTING HIGHER-ORDER FUNCTIONS AND EMERGENT PROPERTIES OF NEUROBIOLOGICAL SYSTEMS, AND, TO DEVELOP NOVEL TOOLS AND TECHNIQUES FOR THE ANALYSIS OF LARGE-SCALE GENETIC, MULTI-OMIC DATA AS IT APPLIES TO MENTAL HEALTH. TO UTILIZE CONNECTOMIC APPROACHES TO IDENTIFY BRAIN NETWORKS AND CIRCUIT COMPONENTS THAT CONTRIBUTE TO VARIOUS ASPECTS OF MENTAL FUNCTION AND DYSFUNCTION, TO DETERMINE THROUGH BRAIN-WIDE ANALYSIS HOW CHANGES IN THE PHYSIOLOGICAL PROPERTIES OF MOLECULES, CELLS, AND CIRCUITS CONTRIBUTE TO MENTAL ILLNESSES, TO DEVELOP MOLECULAR, CELLULAR, AND CIRCUIT-LEVEL BIOMARKERS OF IMPAIRED NEURAL FUNCTION IN HUMANS, AND, TO DEVELOP INNOVATIVE TECHNOLOGIES, INCLUDING NEW IMAGING, COMPUTATIONAL, PHARMACOLOGICAL, AND GENETIC TOOLS TO INTERROGATE AND MODULATE CIRCUIT ACTIVITY AND STRUCTURE ALTERED IN MENTAL ILLNESSES. TO ELUCIDATE THE MECHANISMS CONTRIBUTING TO THE TRAJECTORIES OF BRAIN DEVELOPMENT AND BEHAVIOR, AND, TO CHARACTERIZE THE EMERGENCE AND PROGRESSION OF MENTAL ILLNESSES, AND IDENTIFYING SENSITIVE PERIODS FOR OPTIMAL INTERVENTION. TO DETERMINE EARLY RISK AND PROTECTIVE FACTORS, AND RELATED MECHANISMS, TO SERVE AS NOVEL INTERVENTION GROUPS, AND, TO DEVELOP RELIABLE AND ROBUST BIOMARKERS AND ASSESSMENT TOOLS TO PREDICT ILLNESS ONSET, COURSE, AND ACROSS DIVERSE POPULATIONS. TO DEVELOP NOVEL INTERVENTIONS USING A MECHANISM-INFORMED, EXPERIMENTAL THERAPEUTICS APPROACH, AND, TO DEVELOP AND IMPLEMENT MEASUREMENT STRATEGIES TO FACILITATE MECHANISM-BASED INTERVENTION DEVELOPMENT AND TESTING. TO INVESTIGATE PERSONALIZED INTERVENTION STRATEGIES ACROSS DISEASE PROGRESSION AND DEVELOPMENT, AND, TO DEVELOP AND REFINE COMPUTATIONAL APPROACHES AND RESEARCH DESIGNS THAT CAN BE USED TO INFORM AND TEST PERSONALIZED INTERVENTIONS. TO DEVELOP AND TEST APPROACHES FOR ADAPTING, COMBINING, AND SEQUENCING INTERVENTIONS TO ACHIEVE THE GREATEST IMPACT ON THE LIVES AND FUNCTIONING OF PERSONS SEEKING CARE, TO CONDUCT EFFICIENT PRAGMATIC TRIALS THAT EMPLOY NEW TOOLS TO RAPIDLY IDENTIFY, ENGAGE, ASSESS, AND FOLLOW PARTICIPANTS IN THE CONTEXT OF ROUTINE CARE, AND, TO ENHANCE THE PRACTICAL RELEVANCE OF EFFECTIVENESS RESEARCH VIA DEPLOYMENT-FOCUSED, HYBRID, EFFECTIVENESS-IMPLEMENTATION STUDIES. TO EMPLOY ASSESSMENT PLATFORMS WITHIN HEALTHCARE SYSTEMS TO ACCURATELY ASSESS THE DISTRIBUTION AND DETERMINANTS OF MENTAL ILLNESSES AND TO INFORM STRATEGIES FOR IMPROVED SERVICES, TO OPTIMIZE REAL-WORLD DATA COLLECTION SYSTEMS TO IDENTIFY STRATEGIES FOR IMPROVING ACCESS, QUALITY, EFFECTIVENESS, AND CONTINUITY OF MENTAL HEALTH SERVICES, AND, TO COMPARE ALTERNATIVE FINANCING MODELS TO PROMOTE EFFECTIVE AND EFFICIENT CARE FOR INDIVIDUALS WITH SERIOUS EMOTIONAL DISTURBANCES AND SERIOUS MENTAL ILLNESSES. TO STRENGTHEN PARTNERSHIPS WITH KEY STAKEHOLDERS TO DEVELOP AND VALIDATE STRATEGIES FOR IMPLEMENTING, SUSTAINING, AND CONTINUOUSLY IMPROVE EVIDENCE-BASED PRACTICES, TO BUILD MODELS TO SCALE-UP EVIDENCE-BASED PRACTICES FOR USE IN PUBLIC AND PRIVATE PRIMARY CARE, SPECIALTY CARE AND OTHER SETTINGS, AND, TO DEVELOP DECISION-SUPPORT TOOLS AND TECHNOLOGIES THAT INCREASE THE EFFECTIVENESS AND CONTINUOUS IMPROVEMENT OF MENTAL HEALTH INTERVENTIONS IN PUBLIC AND PRIVATE PRIMARY CARE, SPECIALTY CARE, AND OTHER SETTINGS. TO ADAPT, VALIDATE, AND SCALE-UP PROGRAMS CURRENTLY IN USE THAT IMPROVE MENTAL HEALTH SERVICES FOR UNDERSERVED POPULATIONS, TO DEVELOP AND VALIDATE SERVICE DELIVERY MODELS THAT PROVIDE EVIDENCE-BASED CARE FOR INDIVIDUALS THROUGHOUT THE COURSE OF MENTAL ILLNESS, TO DEVELOP AND VALIDATE SYSTEMS-LEVEL STRATEGIES USING TECHNOLOGY AND OTHER APPROACHES, TO IDENTIFY, SUPPORT, AND MONITOR THE EFFECTIVENESS OF EVIDENCE-BASED CARE THROUGHOUT THE COURSE OF ILLNESS, AND, TO DEVELOP AND VALIDATE DECISION-MAKING MODELS THAT BRIDGE MENTAL HEALTH, MEDICAL, AND OTHER CARE SETTINGS TO INTEGRATE THE APPROPRIATE CARE FOR PEOPLE WITH SERIOUS MENTAL ILLNESSES AND COMORBID MEDICAL CONDITIONS.
Grant Program (CFDA)
Awarding Agency
Place of Performance
Vermont
United States
Geographic Scope
State-Wide
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 07/04/22 to 07/31/25 and the total obligations have increased 393% from $760,219 to $3,745,487.
Microbrightfield was awarded
NeuroExM: Advanced Spatial Analysis System for Neuroscience Research
Project Grant R42MH124566
worth $3,745,487
from the National Institute of Child Health and Human Development in July 2021 with work to be completed primarily in Vermont United States.
The grant
has a duration of 4 years and
was awarded through assistance program 93.865 Child Health and Human Development Extramural Research.
The Project Grant was awarded through grant opportunity BRAIN Initiative: Development Optimization, and Validation of Novel Tools and Technologies for Neuroscience Research (SBIR) (R43/R44 - Clinical Trial Not Allowed).
SBIR Details
Research Type
STTR Phase II
Title
NeuroExM
Abstract
Abstract This project describes the development of NeuroExM™, a highly innovative system for performing comprehensive spatial distribution analysis of populations of messenger RNAs (mRNAs) and proteins in tissue processed for expansion microscopy (ExM)). The groundbreaking technological advantage of ExM, which was recently developed by Dr. Edward S. Boyden (Dept. Biol. Engin., Media Lab and Dept. Brain Cognit. Sci., MIT, Cambridge, MA) and colleagues, is the ability to isotropically expand tissue and increase the size of the biological structures. This allows nanoscale-resolution, light-microscopic imaging of small objects that are too small to be resolved without expansion due to the diffraction limit of light. Among other benefits, ExM allows those small structures to be imaged with a wider range of microscopy techniques. Processing tissue for ExM also allows repeated hybridization (for investigations of mRNAs) and/or repeated antibody staining (for investigations of proteins) of the same tissue, combined with repeated microscopic imaging rounds. Each round yields adjacent, high-magnification, single field-of-view image stacks, consisting of at least one morphology reference channel showing neuronal sub-cellular structures (somas, axons, dendrites, dendritic spines, synapses) as well as one or several info channels showing mRNAs and/or proteins. Comprehensive analysis of the spatial distribution of populations of mRNAs and proteins in neurons in situ requires assembling the image stacks of all performed rounds into a single, seamless and aligned, three-dimensional (3D) ExM image, which is high-dimensional and can be several terabytes in size. However, this presents a number of computational challenges with respect to microscopy image registration, segmentation and analysis. The game-changing innovation in NeuroExM is the ability to perform all of these tasks without the need to have a computer scientist on staff to run the existing, individual lab-based software scripts developed for each step of this kind of complex analysis. This is made possible by implementing a number of significant technical innovations into NeuroExM. Based on pilot work performed in collaboration with the Boyden lab during preparation of this proposal, we are convinced that NeuroExM will make a significant impact on the field of neuroscience research. Specifically, the combination of ExM and NeuroExM will enable substantial advancements in research studies focusing on alterations in the spatial transcriptome and proteome of neurons associated with neurodevelopmental, neuropsychiatric, neurodegenerative and neurological disorders as well as in aging research and drug development. Ultimately, this will result in an improved basis for developing novel treatment strategies for a wide spectrum of complex brain diseases. In Phase I we will demonstrate feasibility of this novel technology by developing prototype software; work in Phase II will focus on creating the full functionality of NeuroExM for commercial release. We will perform extensive feasibility studies, product validation and usability studies of NeuroExM in close collaboration with the Boyden lab. A competing technology is not available.Narrative Performing comprehensive spatial distribution analysis of populations of messenger RNAs and proteins in neurons in tissue processed for expansion microscopy holds the promise of profound progress in next-generation basic and translational neuroscience studies such as investigating the effects of aging, understanding neurodevelopmental, neuropsychiatric, neurodegenerative and neurological disorders and diseases, and drug discovery. Our proposed product will be a transformative technology, using a number of technical innovations that, for the first time, will enable researchers to perform these data-rich studies without the need to have a computer scientist on staff to run the existing, lab-based software developed for this kind of complex analysis. This system will allow researchers to make new discoveries based on new studies that are currently not feasible, ultimately providing the basis for developing novel treatments to prevent and fight complex brain diseases.
Topic Code
101
Solicitation Number
PA18-871
Status
(Complete)
Last Modified 12/19/25
Period of Performance
7/2/21
Start Date
7/31/25
End Date
Funding Split
$3.7M
Federal Obligation
$0.0
Non-Federal Obligation
$3.7M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R42MH124566
Transaction History
Modifications to R42MH124566
Additional Detail
Award ID FAIN
R42MH124566
SAI Number
R42MH124566-2004836627
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Small Business
Awarding Office
75N700 NIH National Institute of Mental Health
Funding Office
75NT00 NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development
Awardee UEI
L5XGENY3LNN7
Awardee CAGE
1CLS0
Performance District
VT-00
Senators
Bernard Sanders
Peter Welch
Peter Welch
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute of Mental Health, National Institutes of Health, Health and Human Services (075-0892) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,686,360 | 85% |
| National Institute of Neurological Disorders and Stroke, National Institutes of Health, Health and Human Services (075-0886) | Health research and training | Grants, subsidies, and contributions (41.0) | $157,044 | 8% |
| National Institute on Aging, National Institutes of Health, Health and Human Services (075-0843) | Health research and training | Grants, subsidies, and contributions (41.0) | $85,420 | 4% |
| National Institute of Child Health and Human Development, National Institutes of Health, Health and Human Services (075-0844) | Health research and training | Grants, subsidies, and contributions (41.0) | $61,748 | 3% |
Modified: 12/19/25