SBIR-STTR Award

RASP - Automated Scoring Program for Rodent Ultrasonic Vocalizations (USVs)
Award last edited on: 2/3/2023

Sponsored Program
STTR
Awarding Agency
DOD : DHA
Total Award Amount
$674,842
Award Phase
2
Solicitation Topic Code
DHP16C-003
Principal Investigator
Peter Scheidler

Company Information

Mide Technology Corporation

475 Wildwood Avenue
Woburn, MA 01801
   (781) 306-0609
   N/A
   www.mide.com

Research Institution

Tufts University

Phase I

Contract Number: W81XWH-17-C-0033
Start Date: 9/22/2017    Completed: 4/21/2018
Phase I year
2017
Phase I Amount
$150,000
Rodents serve as models for the human brain and behavior, and their calls give researchers a window into their mood. Unfortunately, rodent calls are ultrasonic, so a researcher must record a test and then play the audio back at a slower speed to manually categorize and count calls. Software does exist to accomplish this task, but it does not have the ease of use or accuracy that researchers want. Mide, in partnership with Tufts University and Dr. James Reno, propose to automate this task by creating software that will automatically count calls, categorize the calls, and provide confidence measurements to alert the researcher to gradual changes in a subjects performance. The algorithms to identify rodent calls will be based on the WAAVES algorithms developed by Dr. Reno as part of his paper Automating Ultrasonic Vocalization Analyses: The WAAVES Program. The main software interface will be based on Mides existing SlamStick Lab program, which is used in vibration analysis.

Phase II

Contract Number: W81XWH18C0142
Start Date: 9/24/2018    Completed: 2/23/2021
Phase II year
2018
Phase II Amount
$524,842
Rodents serve as models for the human brain and behavior, and their calls give researchers a window into their mood. Unfortunately, rodent calls are ultrasonic, so a researcher must record a test and then play the audio back at a slower speed to manually categorize and count calls. Software does exist to accomplish this task, but it does not have the ease of use or accuracy that researchers want. Mide, in partnership with Tufts University and Dr. James Reno, propose to automate this task by creating software that will automatically count calls, categorize the calls, and provide confidence measurements to alert the researcher to gradual changes in a subject’s performance. The main software interface will be based on Mide’s existing SlamStick Lab program, which is used in vibration analysis.