IP Library Granted Patent US 12,487,247
Granted Patent B2
US 12,487,247 · App. 17/728,836 · Granted Dec 2, 2025

System and method for characterizing, monitoring, and detecting bioaerosol presence and movement in an indoor environment

Inventors: Sam D. Molyneux (Mountain View, CA); Elizabeth Caley (Mountain View, CA); Daniela Bezdan (Mountain View, CA); Ricardo Vidal (Mountain View, CA); Nathan Volman (Mountain View, CA); Tae Joon Yi (Mountain View, CA); Kevin Slavin (Mountain View, CA)
Assignee: POPPY HEALTH, INC.
G01N35/00693A61L9/14A61L9/20C12Q1/6888G01N1/2202G01N1/2273G01N21/6486G01N33/0006G01N33/0075G01N35/00712G01N35/00722G08B21/02A61L2209/111G01N2001/2223G01N2035/00891
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,487,247
App. No.
17/728,836
Granted
Dec 2, 2025
Kind
B2
Abstract

One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.

Claims (134)

1 . A method comprising:

during a calibration period for an environment:

triggering collection of a first bioaerosol sample by an air sampler located in the environment over a first sampling period of a fixed duration; and

during the first sampling period, triggering dispensation of a first tracer test load by a dispenser in the environment, the first tracer test load comprising:

a first amount of an unmodified barcode; and

a second amount of a modified barcode corresponding to the unmodified barcode and linked to a first intervention type;

accessing a first detected amount of the unmodified barcode present in the first bioaerosol sample collected by the air sampler during the first sampling period;

deriving a calibration factor, in a set of calibration factors, based on the first amount and the first detected amount of the unmodified barcode;

accessing a second detected amount of the modified barcode detected in the first bioaerosol sample;

predicting an adjusted detected amount of the modified barcode present in the environment, during the first sampling period, based on the second detected amount and the calibration factor; and

characterizing a detected dosage of the first intervention type in the environment during the first sampling period based on a difference between the adjusted detected amount and the second amount of the modified barcode dispensed in the first tracer test load.

2 . The method of claim 1 , further comprising:

accessing a dosage profile corresponding to the first intervention type; and

for each pathogen, in a set of pathogens defined for the environment:

accessing a target dosage, in a set of target dosages, of the first intervention type configured to mitigate pressures of the pathogen; and

characterizing a dosage difference, in a set of dosage differences, between the detected dosage and the target dosage for the pathogen.

3 . The method of claim 2 , further comprising, in response to a first dosage difference, in the set of dosage differences, corresponding to a first pathogen, in the set of pathogens, and exceeding a threshold dosage difference defined for the first pathogen in the environment:

calculating a target applied dosage for the first intervention type and configured to mitigate pressures of the first pathogen in the environment based on the first dosage difference;

generating a prompt to implement the first intervention type at the target applied dosage in the environment; and

transmitting the prompt to a user associated with the environment.

4 . The method of claim 2 , further comprising:

generating a notification including the set of dosage differences corresponding to the set of pathogens; and

transmitting the notification to a user associated with the environment.

5 . The method of claim 1 , wherein characterizing the detected dosage of the first intervention type in the environment based on a difference between the adjusted detected amount and the second amount of the modified barcode dispensed in the first tracer test load comprises:

characterizing a detected reduction in amount of the modified barcode present in the environment, during the first sampling period, based on the adjusted detected amount and the second amount of the modified barcode; and

characterizing the detected dosage of the first intervention type in the environment, during the first sampling period, proportional the detected reduction.

6 . The method of claim 1 , further comprising:

accessing an applied dosage of the first intervention type in the environment during a first time period comprising the first sampling period; and

characterizing an effectiveness of the first intervention type in the environment based on a difference between the detected dosage and the applied dosage.

7 . The method of claim 6 , further comprising, in response to the effectiveness of the first intervention type falling below a threshold effectiveness:

generating a prompt to implement a second intervention type, in the set of intervention types, in replacement of the first intervention type in the environment; and

transmitting the prompt to a user associated with the environment.

8 . The method of claim 1 :

wherein triggering dispensation of the first tracer test load comprises triggering dispensation of the first tracer test load comprising:

the first amount of the unmodified barcode;

the second amount of the modified barcode linked to the first intervention type and the unmodified barcode;

a third amount of a second modified barcode linked to a second intervention type and the second unmodified barcode; and

further comprising:

accessing a third detected amount of the second modified barcode detected in the first bioaerosol sample;

predicting a second adjusted detected amount of the second modified barcode in the environment during the first sampling period based on the third detected amount and the calibration factor; and

characterizing a second detected dosage of the second intervention type in the environment during the first sampling period based on the second adjusted detected amount and the third amount of the modified barcode.

9 . The method of claim 8 , wherein triggering dispensation of the first tracer test load comprises triggering dispensation of the first tracer test load comprising:

the first amount of the unmodified barcode;

the second amount of the modified barcode linked to the first intervention type comprising application of a surface disinfectant;

the third amount of the second modified barcode linked to the second intervention type comprising application of a UV-light disinfectant.

10 . The method of claim 1 :

wherein triggering dispensation of the first tracer test load comprises triggering dispensation of the first tracer test load comprising:

the first amount of the unmodified barcode comprising unmodified barcodes exhibiting sizes within a first size range;

the second amount of the modified barcode comprising modified barcodes exhibiting sizes within the first size range and linked to the first intervention type;

a third amount of a second unmodified barcode comprising unmodified barcodes exhibiting sizes within a second size range exceeding sizes in the first size range; and

a fourth amount of a second modified barcode comprising modified barcodes exhibiting sizes within the second size range and linked to the first intervention type;

further comprising:

accessing a third detected amount of the second unmodified barcode present in the first bioaerosol sample;

deriving a second calibration factor, in the set of calibration factors, based on the third amount and the third detected amount of the unmodified barcode;

accessing a fourth detected amount of the second modified barcode detected in the first bioaerosol sample; and

predicting a second adjusted detected amount of the second modified barcode in the environment during the first sampling period based on the fourth detected amount and the second calibration factor; and

wherein characterizing the detected dosage of the first intervention type in the environment based on the adjusted detected amount and the second amount of the modified barcode comprises:

characterizing a first detected dosage of the first intervention type, corresponding to bioaerosols in the environment exhibiting sizes within the first size range, based on the adjusted detected amount and the second amount of the modified barcode; and

characterizing a second detected dosage of the first intervention type, corresponding to particles in the environment exhibiting sizes within the second size range, based on the second adjusted detected amount and the fourth amount of the second modified barcode.

11 . The method of claim 1 , further comprising:

accessing an applied dosage of the first intervention type implemented in the environment during a first time period comprising the first sampling period;

deriving an effectiveness factor for the first intervention type in the environment based on the detected dosage and the applied dosage; and

during a live period succeeding the calibration period, in response to detecting presence of a first pathogen, in a set of pathogens, in a bioaerosol sample collected by the air sampler:

accessing a target dosage of the first intervention type configured to mitigate presence of the first pathogen in environment;

rectifying the target dosage based on the effectiveness factor derived for the first intervention type in the environment;

generating a prompt to implement the first intervention type at the target dosage; and

transmitting the prompt to a user associated with the environment.

12 . The method of claim 1 , further comprising, during a live period succeeding the calibration period:

triggering collection of a second bioaerosol sample, over a second sampling period of the fixed duration, by the air sampler;

accessing a first detected pathogen level of a first pathogen, in a set of pathogens, present in the second bioaerosol sample;

predicting a first pathogen level of the first pathogen in the environment during the second sampling period based on the first detected pathogen level and the first calibration factor; and

in response to the first pathogen level exceeding a threshold pathogen level:

generating a notification indicating detection of the first pathogen in the environment; and

transmitting the notification to a user associated with the environment.

13 . The method of claim 1 :

accessing a set of 3D images of the environment recorded by a set of optical sensors deployed in the environment;

initializing a 3D rendering of the environment based on the set of 3D images;

interpreting a set of aerosol flow metrics, representing movement of aerosols in the environment, for the environment based on the set of calibration factors; and

deriving an aerosol flow map depicting movement of aerosols within the environment based on the set of flow metrics and the 3D rendering of the environment.

14 . A method comprising, during a calibration period for an environment:

triggering collection of a first bioaerosol sample over a first sampling period of a fixed duration by an air sampler installed in the environment;

during the first sampling period, triggering dispensation of a tracer test load by a first dispenser, in a set of dispensers, installed in the environment, the tracer test load comprising tracer molecules in solution;

accessing a detected amount of tracer molecules present in the first bioaerosol sample;

accessing a true amount of tracer molecules present in the tracer test load;

deriving a calibration factor, in a set of calibration factors, for the environment based on a difference between the detected amount of tracer molecules and the true amount of tracer molecules;

deriving a set of aerosol flow metrics, representing movement of aerosols in the environment, based on the set of calibration factors;

accessing a set of images of the environment recorded by a set of optical sensors deployed in the environment during the calibration period; and

deriving an aerosol flow map depicting movement of bioaerosols within the environment based on the set of images and the set of air flow metrics.

15 . The method of claim 14 , further comprising, during a live period succeeding the calibration period:

triggering collection of a second bioaerosol sample over a second sampling period of the fixed duration by the air sampler;

accessing a detected pathogen level of a first pathogen, in a set of pathogens, present in the second bioaerosol sample;

predicting a first pathogen level, in a set of pathogen levels, of the first pathogen in a first location, in a set of locations, in the environment during the second sampling period based on the detected pathogen level and the aerosol flow map; and

predicting a second pathogen level, in the set of pathogen levels, of the first pathogen in a second location, in the set of locations, in the environment during the second sampling period based on the detected pathogen level and the aerosol flow map.

16 . The method of claim 14 , further comprising, for each subregion, in a set of subregions, depicted in the aerosol flow map for the environment:

characterizing risk associated with pathogen exposure in the subregion based on the set of aerosol flow metrics; and

in response to risk associated with pathogen exposure in the subregion exceeding a threshold risk, flagging the subregion for further investigation by a user associated with the environment.

17 . The method of claim 14 :

wherein triggering collection of the first bioaerosol sample by the air sampler installed in the environment comprises triggering collection of the first bioaerosol sample by the air sampler installed in a first location within the environment;

wherein triggering dispensation of the tracer test load by the dispenser comprises triggering dispensation of a first tracer test load by the dispenser installed in a second location within the environment, the first tracer test load comprising the true amount of tracer molecules of a first type in solution;

wherein accessing the detected amount of tracer molecules present in the first bioaerosol sample comprises accessing the detected amount of tracer molecules of the first type present in the first bioaerosol sample;

wherein characterizing the difference between the true amount of tracer molecules and the detected amount of tracer molecules comprises characterizing a first difference between the true amount of tracer molecules of the first type and the detected amount of tracer molecules of the first type;

further comprising:

during the first sampling period, triggering dispensation of a second tracer test load by a second dispenser installed in a third location within the environment, the second tracer test load comprising the true amount of tracer molecules of a second type in solution;

accessing a second detected amount of tracer molecules of the second type present in the initial bioaerosol test sample; and

characterizing a second difference between the true amount of tracer molecules of the second type and the second detected amount; and

wherein deriving the set of air flow metrics for the environment representing movement of bioaerosols in the environment over time based on the difference comprises deriving the set of air flow metrics for the environment representing movement of bioaerosols in the environment over time based on the first difference and the second difference.

18 . The method of claim 17 :

wherein triggering dispensation of the first tracer test load comprising the true amount of tracer molecules of the first type in solution comprises triggering dispensation of the first tracer test load comprising the true amount of tracer molecules of the first type in solution, each tracer molecule in the first tracer test load comprising:

a first group DNA barcode associated with the dispenser installed in the first location and common to tracer molecules of the first type; and

a first unique DNA barcode, in a first set of unique DNA barcodes, distinct from each other unique DNA barcode in the first set of unique DNA barcodes; and

wherein triggering dispensation of the second tracer test load comprising the true amount of tracer molecules of the second type in solution comprises triggering dispensation of the second tracer test load comprising the true amount of tracer molecules of the second type in solution, each tracer molecule in the second tracer test load comprising:

a second group DNA barcode associated with the second dispenser installed in the second location and common to tracer molecules of the second type; and

a second unique DNA barcode, in a second set of unique DNA barcodes, distinct from each other unique DNA barcode in the second set of unique DNA barcodes.

19 . The method of claim 14 :

wherein triggering dispensation of the tracer test load by the first dispenser installed in the environment comprises, at a first time, triggering dispensation of the tracer test load by the first dispenser installed in a first location in the environment, the tracer test load comprising the true amount of tracer molecules of a first type in solution;

wherein accessing the detected amount of tracer molecules present in the first bioaerosol sample comprising accessing the detected amount of tracer molecules of the first type present in the first bioaerosol sample;

wherein deriving the calibration factor based on the difference between the detected amount and the true amount comprises deriving the calibration factor based on the difference between the detected amount and the true amount, the first calibration factor associated with the first location and a first time value corresponding to the first time;

further comprising:

during the first sampling period, at approximately the first time, triggering dispensation of a second tracer test load by a second dispenser, in the set of dispensers, installed in a second location in the environment, the second tracer test load comprising a second true amount of tracer molecules of a second type in solution;

during the first sampling period, at a second time succeeding the first time, triggering dispensation of a third tracer test load by the first dispenser, the third tracer test load comprising a third true amount of tracer molecules of a third type in solution;

during the first sampling period, at approximately the second time, triggering dispensation of a fourth tracer test load by the second dispenser, the fourth tracer test load comprising a fourth true amount of tracer molecules of a fourth type in solution;

accessing a second detected amount of tracer molecules of the second type present in the first bioaerosol sample;

accessing a third detected amount of tracer molecules of the third type present in the first bioaerosol sample;

accessing a fourth detected amount of tracer molecules of the fourth type present in the first bioaerosol sample;

deriving a second calibration factor, in the set of calibration factors, based on a second difference between the second detected amount and the second true amount, the second calibration factor associated with the second location and the first time value;

deriving a third calibration factor, in the set of calibration factors, based on a third difference between the third detected amount and the third true amount, the third calibration factor associated with the first location and a second time value corresponding to the second time; and

deriving a fourth calibration factor, in the set of calibration factors, based on a fourth difference between the fourth detected amount and the fourth true amount, the fourth calibration factor associated with the second location and a second time value corresponding to the second time; and

wherein deriving the set of aerosol flow metrics based on the set of calibration factors comprises deriving the set of aerosol flow metrics based on the set of calibration factors comprising the first calibration factor, the second calibration factor, the third calibration factor, and the fourth calibration factor.

20 . The method of claim 14 :

wherein accessing the set of images of the interior of the environment recorded by the optical sensor installed in the environment comprises accessing a set of lidar images of the interior of the environment recorded by a lidar sensor installed in the environment; and

wherein deriving the aerosol flow map depicting movement of bioaerosols throughout the environment based on the set of images and the set of air flow metrics comprises:

generating a 3D rendering of the interior of the environment based on the set of lidar images;

converting the set of air flow metrics into a set of visual objects representing flow of bioaerosols in the environment; and

overlaying the 3D rendering of the interior of the environment with the set of visual objects to generate the aerosol flow map depicting movement of bioaerosols throughout the environment.

Assignments (2)
SECURITY INTEREST Recorded Mar 27, 2024
From: POPPY HEALTH, INC.
To: TOP CORNER CAPITAL LP
Reel/Frame 066927/0357 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 21, 2022
From: MOLYNEUX, SAM D.; CALEY, ELIZABETH; BEZDAN, DANIELA; VIDAL, RICARDO; VOLMAN, NATHAN; YI, TAE JOON; SLAVIN, KEVIN
To: POPPY HEALTH, INC.
Reel/Frame 060585/0657 →
Continuity (5)
Provisional Application 63286806 · Dec 7, 2021
Provisional Application 63286821 · Dec 7, 2021
Provisional Application 63286815 · Dec 7, 2021
Provisional Application 63178721 · Apr 23, 2021
Related Publication 20220341955A1 · Oct 27, 2022
References Cited (33)
US 6363769B2 · Krajewski · 2002 [cited by examiner]
US 7578973B2 · Call et al. · 2009 [cited by applicant]
US 7633606B2 · Northrup et al. · 2009 [cited by applicant]
US 8272280B2 · Jones, Jr. · 2012 [cited by applicant]
US 8539840B2 · Ariessohn et al. · 2013 [cited by applicant]
US 8578796B2 · Cho · 2013 [cited by applicant]
US 8689648B1 · Heff · 2014 [cited by applicant]
US 9261885B2 · Tryfonos · 2016 [cited by examiner]
US 9689792B1 · Sickenberger et al. · 2017 [cited by applicant]
US 10919047B2 · Mainelis et al. · 2021 [cited by applicant]
US 11300484B1 · Bango · 2022 [cited by applicant]
US 20110251084A1 · Brenan et al. · 2011 [cited by applicant]
US 20110252897A1 · Swenson et al. · 2011 [cited by applicant]
US 20120174650A1 · Ariessohn et al. · 2012 [cited by applicant]
US 20160362730A1 · Alexander et al. · 2016 [cited by applicant]
US 20180155771A1 · Takahashi et al. · 2018 [cited by applicant]
US 20190025299A1 · Vigneault et al. · 2019 [cited by applicant]
US 20210208062A1 · Linden · 2021 [cited by applicant]
US 20210324485A1 · Hodges et al. · 2021 [cited by applicant]
US 20220034763A1 · Dutta · 2022 [cited by applicant]
US 20220091010A1 · Wystup et al. · 2022 [cited by applicant]
CN 111662816A · 2020 [cited by applicant]
CN 112014528A · 2020 [cited by applicant]
JP 2017096727A · 2017 [cited by applicant]
KR 20110097199A · 2011 [cited by applicant]
WO 2019018559A1 · 2019 [cited by applicant]
WO 2019046347A9 · 2019 [cited by applicant]
WO 2022047340A1 · 2022 [cited by applicant]
WO 2022081543A1 · 2022 [cited by applicant]
International Search Report and Written Opinion for International Patent Application PCT/US2022/026201 mailed on Oct. 5, 2022; 14 pages. [cited by applicant]
International Search Report and Written Opinion for International Patent Application No. PCT/US2021/64875 mailed on Mar. 29, 2022; 13 pages. [cited by applicant]
M. Z. Bazant, J. W. Bush, A guideline to limit indoor airborne transmission of covid-19. Proceedings of the National Academy of Sciences. 118 (2021), doi:10.1073/pnas.2018995118. [cited by applicant]
Non-Final Office Action for U.S. Appl. No. 17/559,257 mailed on Jun. 8, 2022; 7 pages. [cited by applicant]