R44MH125687
Project Grant
Overview
Grant Description
An Energy Discriminating Direct Detector for Multi-Color SEM - Project Summary / Abstract
Understanding brain function and neurological disorders relies on mapping the connectivity among neurons, distinguishing different cellular and molecular populations, and elucidating the protein-protein interactions that drive neurological function. These studies encompass a wide range of scales, requiring both a large field-of-view to map connectivity and high-resolution to visualize subcellular and intrasynaptic molecular details. Multi-color electron microscopy (EM) has shown promise in studying biological ultrastructure at nanometer resolution while also detecting specific molecular components of interest. The technique is analogous to multi-color fluorescence microscopy, but at approximately 100× higher magnification.
However, the current method for acquiring multi-color EM data is based on energy-filtered TEM (EFTEM), which severely limits its usefulness in neurobiology due to its low throughput and limited field-of-view.
We propose to develop a new ultra-fast direct detection camera for scanning electron microscopy (SEM) capable of operating at more than 100,000 frames per second (FPS) and measuring the energy of detected electrons. Such a camera will be a significant advancement, dramatically improving throughput and enabling sophisticated multi-color EM techniques using serial block-face SEM (SBEM). This will allow for the identification and quantification of small structures such as synaptic vesicles, nucleosomes, nuclear pores, and viruses (ranging from a few nanometers to 10-40 nm).
We have already developed a Phase I prototype of this new direct detection SEM camera, based on a low-energy-optimized version of Direct Electron's current generation TEM direct detection cameras. Initial results have confirmed sensitivity to electrons down to 2 KV energy, showed far superior information content compared to current state-of-the-art scintillator-coupled SEM cameras, and most importantly, revealed that our new sensor design is capable of energy discrimination of detected electrons. These initial results were used to finalize the requirements for the new ultra-fast pixelated direct detector proposed here, the speed of which is required to make the technique useful for large field-of-view, high-resolution multi-color SBEM for imaging neurons.
During Phase II, we will advance the development and commercialization of this new ultra-fast SEM camera system. This will involve fabricating and assembling the new ultra-fast SEM camera, further refining hardware and software to efficiently handle the enormous volumes of data produced and identify multi-color EM labels, and then demonstrating high-speed multi-color SBEM of neuronal tissue.
The success of this project will create an analog of the ubiquitous fluorescence light microscopy technique, but at significantly higher resolution using serial block-face SEM. This will not only have wide-ranging applications for neuroscience research but will also extend to cellular microscopy in a wide range of other biological fields. Additionally, the new camera will also enable energy-filtered electron backscattered diffraction (EBSD), which is widely used in materials science research and industrial quality control. Therefore, as a new enabling technology, we anticipate that the proposed detector will have broad impact across a variety of fields.
Understanding brain function and neurological disorders relies on mapping the connectivity among neurons, distinguishing different cellular and molecular populations, and elucidating the protein-protein interactions that drive neurological function. These studies encompass a wide range of scales, requiring both a large field-of-view to map connectivity and high-resolution to visualize subcellular and intrasynaptic molecular details. Multi-color electron microscopy (EM) has shown promise in studying biological ultrastructure at nanometer resolution while also detecting specific molecular components of interest. The technique is analogous to multi-color fluorescence microscopy, but at approximately 100× higher magnification.
However, the current method for acquiring multi-color EM data is based on energy-filtered TEM (EFTEM), which severely limits its usefulness in neurobiology due to its low throughput and limited field-of-view.
We propose to develop a new ultra-fast direct detection camera for scanning electron microscopy (SEM) capable of operating at more than 100,000 frames per second (FPS) and measuring the energy of detected electrons. Such a camera will be a significant advancement, dramatically improving throughput and enabling sophisticated multi-color EM techniques using serial block-face SEM (SBEM). This will allow for the identification and quantification of small structures such as synaptic vesicles, nucleosomes, nuclear pores, and viruses (ranging from a few nanometers to 10-40 nm).
We have already developed a Phase I prototype of this new direct detection SEM camera, based on a low-energy-optimized version of Direct Electron's current generation TEM direct detection cameras. Initial results have confirmed sensitivity to electrons down to 2 KV energy, showed far superior information content compared to current state-of-the-art scintillator-coupled SEM cameras, and most importantly, revealed that our new sensor design is capable of energy discrimination of detected electrons. These initial results were used to finalize the requirements for the new ultra-fast pixelated direct detector proposed here, the speed of which is required to make the technique useful for large field-of-view, high-resolution multi-color SBEM for imaging neurons.
During Phase II, we will advance the development and commercialization of this new ultra-fast SEM camera system. This will involve fabricating and assembling the new ultra-fast SEM camera, further refining hardware and software to efficiently handle the enormous volumes of data produced and identify multi-color EM labels, and then demonstrating high-speed multi-color SBEM of neuronal tissue.
The success of this project will create an analog of the ubiquitous fluorescence light microscopy technique, but at significantly higher resolution using serial block-face SEM. This will not only have wide-ranging applications for neuroscience research but will also extend to cellular microscopy in a wide range of other biological fields. Additionally, the new camera will also enable energy-filtered electron backscattered diffraction (EBSD), which is widely used in materials science research and industrial quality control. Therefore, as a new enabling technology, we anticipate that the proposed detector will have broad impact across a variety of fields.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
San Diego,
California
921284105
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 08/30/23 to 08/30/24 and the total obligations have increased 68% from $1,104,885 to $1,856,554.
L.P Direct Electron was awarded
Project Grant R44MH125687
worth $1,856,554
from the National Institute of Mental Health in September 2021 with work to be completed primarily in San Diego California United States.
The grant
has a duration of 3 years and
was awarded through assistance program 93.242 Mental Health Research Grants.
The Project Grant was awarded through grant opportunity PHS 2020-2 Omnibus Solicitation of the NIH, CDC and FDA for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44] Clinical Trial Not Allowed).
SBIR Details
Research Type
SBIR Phase II
Title
An energy discriminating direct detector for multi-color SEM
Abstract
Project Summary / Abstract Understanding brain function and neurological disorder is predicated on mapping the connectivity among neurons, distinguishing various cellular and molecular populations, and elucidating the protein-protein interactions that drive neurological function. Such studies span a wide range of scales, requiring both a large field- of-view to map connectivity and high-resolution to visualize subcellular and intrasynaptic molecular details. Multi-color electron microscopy (EM) has shown promise in studying biological ultrastructure at nanometer resolution while also detecting specific molecular components of interest. The technique is analogous to multi- color fluorescence microscopy, but at about ~100× higher magnification. However, the current method for acquiring multi-color EM data is based on energy-filtered TEM (EFTEM), which significantly limits is usefulness in neurobiology due to its severely low throughput and limited field-of-view. We propose to develop a new ultra-fast direct detection camera for scanning electron microscopy (SEM) capable of operating at more than 100,000 frames per second (fps) and measuring the energy of detected electrons. Such a camera will be an astounding leap forward, dramatically improving throughput and enabling sophisticated multi- color EM techniques using serial block-face SEM (SBEM), so that small structures like synaptic vesicles, nucleosomes, nuclear pores, and viruses (all a few nanometers to 10-40 nm) can be identified and quantified. We have already developed a Phase I prototype of this new direct detection SEM camera, based on a low-energy- optimized version of Direct Electron’s current generation TEM direct detection cameras. Initial results have confirmed sensitivity to electrons down to 2 kV energy, showed far superior information content compared to current state-of-the-art scintillator-coupled SEM cameras, and most importantly, revealed that our new sensor design is capable of energy discrimination of detected electrons. These initial results were used to finalize the requirements for the new ultra-fast pixelated direct detector proposed here, the speed of which is required to make the technique useful for large field-of-view, high-resolution multi-color SBEM for imaging neurons. During Phase II we will advance the development and commercialization of this new ultra-fast SEM camera system, by fabricating and assembling the new ultra-fast SEM camera, further refining hardware and software to efficiently handle the enormous volumes of data produced and identify multi-color EM labels, and then demonstrating high-speed multi-color SBEM of neuronal tissue. The success of this project will create an analog of the ubiquitous fluorescence light microscopy technique, but at significantly higher resolution using serial block-face SEM. This will not only have wide ranging applications for neuroscience research but will also extend to cellular microscopy in a wide range of other biological fields. Additionally, the new camera will also enable energy-filtered electron backscattered diffraction (EBSD), which is widely used in materials science research and industrial quality control. Therefore, as a new enabling technology, we anticipate that the proposed detector will have broad impact across a variety of fields.Project Narrative This project will significantly enhance the resolution and throughput of imaging labeled cellular ultrastructure by enabling multi-color EM using serial block-face scanning electron microscopy (SEM). The innovation of this project is a novel ultra-fast direct detection camera for SEM capable of discriminating the energy of electrons backscattered by the specimen, enabling identification of multi-color EM labels added to cells and tissues. This technique will be vital for visualizing protein-protein interactions in neurons across large areas, in order to study the mechanisms of mental illness and neurodegenerative disorders like Parkinson’s disease.
Topic Code
101
Solicitation Number
PA20-260
Status
(Complete)
Last Modified 9/20/24
Period of Performance
9/1/21
Start Date
8/30/24
End Date
Funding Split
$1.9M
Federal Obligation
$0.0
Non-Federal Obligation
$1.9M
Total Obligated
Activity Timeline
Transaction History
Modifications to R44MH125687
Additional Detail
Award ID FAIN
R44MH125687
SAI Number
R44MH125687-2472018940
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Small Business
Awarding Office
75N700 NIH NATIONAL INSTITUTE OF MENTAL HEALTH
Funding Office
75N700 NIH NATIONAL INSTITUTE OF MENTAL HEALTH
Awardee UEI
LM55T19DEWC6
Awardee CAGE
4TPN1
Performance District
CA-51
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
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) | $751,669 | 100% |
Modified: 9/20/24