Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

Deep-UV Microscopy for Real-Time Adequacy Analysis of Bone Marrow Aspirates

Award Number: R41EB035057
ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 08/01/2023
PERIOD OF PERFORMANCE END DATE: 12/31/2024

Group Awards By:

View Award Description

Deep-UV Microscopy for Real-Time Adequacy Analysis of Bone Marrow Aspirates - Project Summary/Abstract Bone marrow aspirates are critical to the diagnosis, staging, and monitoring of hematologic conditions and cancers (e.g., leukemia, aplastic anemia, sickle cell disease, and metastasis of solid tumors), but 8-50% of aspirations are unsuccessful due to operator technique, hemodilution, or underlying pathology. Because this process is manual and error-prone, there is an opportunity to improve patient outcomes by providing real-time and automated feedback on the sample quality. Cellia Science will enable improved quality and reliability of bone marrow aspiration procedures by developing a point-of-care screening instrument. Our approach is based on a recently developed label-free, deep-ultraviolet (UV) technique for cell imaging and analysis. Preliminary data has shown that the spicules present in a bone marrow aspirate are easily identifiable by their characteristic deep blue hue in the unstained pseudocolorized UV image—a result of strong light attenuation at 255nm by bone spicules. The resulting deep-UV images can be generated in under 3 minutes, making the technique suitable for real-time use during aspiration procedures, and are nearly identical to the Giemsa- stained slides, which take over 45 min to process. Label-free deep-UV imaging can be combined with machine learning techniques for feature extraction and classification, which will enable automated quality assessment of aspirate smears without a pathology technician. We will leverage this technology to develop a bone marrow aspirate quality screening device for use during aspiration procedures. Towards this goal, we propose quantify sensitivity and specificity of spicule detection by deep-UV microscopy and evaluate concordance of deep-UV aspirate assessment with visual assessment by trained technician, with Giemsa-stained samples serving as the ground truth. We will also develop prototype instrument for automated spicule adequacy assessment to enable adoption of this technique without a specially trained pathology technician. To automate the adequacy assessment, we will use machine learning techniques for feature extraction and classification, detect the presence of one or more spicules in the sample. Successful implementation of this device is expected to increase the fraction of successful procedures, which will drastically improve the quality of care for the patient.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $0 )
2025	2023	CELLIA SCIENCE, INC.	535 W RESEARCH CENTER BLVD STE 135	FAYETTEVILLE	AR	72701	WASHINGTON	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	5/7/2025	NEW	$0
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $147,379 )
2024	2024	CELLIA SCIENCE, INC.	535 W RESEARCH CENTER BLVD STE 135	FAYETTEVILLE	AR	72701	WASHINGTON	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	1	6/28/2024	SUPPLEMENT FOR EXPANSION	$6,500
2024	2024	CELLIA SCIENCE, INC.	535 W RESEARCH CENTER BLVD STE 135	FAYETTEVILLE	AR	72701	WASHINGTON	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	002	1	9/6/2024	SUPPLEMENT FOR EXPANSION	$0
2024	2024	CELLIA SCIENCE, INC.	535 W RESEARCH CENTER BLVD STE 135	FAYETTEVILLE	AR	72701	WASHINGTON	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	11/3/2023	SUPPLEMENT FOR EXPANSION	$140,879
														Subtotal = $147,379

Issue Date FY: 2023 ( Subtotal = $275,766 )
2023	2023	CELLIA SCIENCE, INC.	535 W RESEARCH CENTER BLVD STE 135	FAYETTEVILLE	AR	72701	WASHINGTON	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	7/17/2023	NEW	$275,766
														Subtotal = $275,766

Grand Total All Awards = $423,145

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Deep-UV Microscopy for Real-Time Adequacy Analysis of Bone Marrow Aspirates

Award Number: R41EB035057

ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 08/01/2023

PERIOD OF PERFORMANCE END DATE: 12/31/2024

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer