Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence

Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its bro...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the National Academy of Sciences - PNAS Vol. 118; no. 27; pp. 1 - 9
Main Authors Rothberg, Jonathan M., Ralston, Tyler S., Rothberg, Alex G., Martin, John, Zahorian, Jaime S., Alie, Susan A., Sanchez, Nevada J., Chen, Kailiang, Chen, Chao, Thiele, Karl, Grosjean, David, Yang, Jungwook, Bao, Liewei, Schneider, Rob, Schaetz, Sebastian, Meyer, Christophe, Neben, Abraham, Ryan, Bob, Petrus, J. R., Lutsky, Joe, McMahill, Dan, Corteville, Gregory, Hageman, Matthew R., Miller, Larry, Fife, Keith G.
Format Journal Article
LanguageEnglish
Published Washington National Academy of Sciences 06.07.2021
Subjects
Online AccessGet full text
ISSN0027-8424
1091-6490
1091-6490
DOI10.1073/pnas.2019339118

Cover

Abstract Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal–oxide–semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described—augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health.
AbstractList Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal–oxide–semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described—augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health.
Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound's proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal-oxide-semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described-augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health.Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound's proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal-oxide-semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described-augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health.
Affordable hand-held ultrasound is transforming health care as a diagnostic tool with the potential to be as ubiquitous as the stethoscope. Here, we present a platform for advancing diagnostic care consisting of an ultrasound-on-chip probe, leveraging state-of-the-art silicon-based semiconductor foundries, paired with a mobile device and artificial-intelligence–guided image interpretation and cloud interconnectivity. Demonstrations across key organs and modes illustrate the imaging capabilities. Presentations of automated guidance for untrained ultrasound users show the potential for further broadening accessibility and utility. Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal–oxide–semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described—augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health.
Affordable hand-held ultrasound is transforming health care as a diagnostic tool with the potential to be as ubiquitous as the stethoscope. Here, we present a platform for advancing diagnostic care consisting of an ultrasound-on-chip probe, leveraging state-of-the-art silicon-based semiconductor foundries, paired with a mobile device and artificial-intelligence–guided image interpretation and cloud interconnectivity. Demonstrations across key organs and modes illustrate the imaging capabilities. Presentations of automated guidance for untrained ultrasound users show the potential for further broadening accessibility and utility. Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal–oxide–semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described—augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health.
Author Neben, Abraham
Yang, Jungwook
Meyer, Christophe
Ralston, Tyler S.
Schneider, Rob
Grosjean, David
Lutsky, Joe
Rothberg, Jonathan M.
Zahorian, Jaime S.
Ryan, Bob
Miller, Larry
Rothberg, Alex G.
Schaetz, Sebastian
Bao, Liewei
Chen, Chao
Hageman, Matthew R.
Chen, Kailiang
Fife, Keith G.
Martin, John
Corteville, Gregory
Thiele, Karl
Sanchez, Nevada J.
Petrus, J. R.
Alie, Susan A.
McMahill, Dan
Author_xml – sequence: 1
  givenname: Jonathan M.
  surname: Rothberg
  fullname: Rothberg, Jonathan M.
– sequence: 2
  givenname: Tyler S.
  surname: Ralston
  fullname: Ralston, Tyler S.
– sequence: 3
  givenname: Alex G.
  surname: Rothberg
  fullname: Rothberg, Alex G.
– sequence: 4
  givenname: John
  surname: Martin
  fullname: Martin, John
– sequence: 5
  givenname: Jaime S.
  surname: Zahorian
  fullname: Zahorian, Jaime S.
– sequence: 6
  givenname: Susan A.
  surname: Alie
  fullname: Alie, Susan A.
– sequence: 7
  givenname: Nevada J.
  surname: Sanchez
  fullname: Sanchez, Nevada J.
– sequence: 8
  givenname: Kailiang
  surname: Chen
  fullname: Chen, Kailiang
– sequence: 9
  givenname: Chao
  surname: Chen
  fullname: Chen, Chao
– sequence: 10
  givenname: Karl
  surname: Thiele
  fullname: Thiele, Karl
– sequence: 11
  givenname: David
  surname: Grosjean
  fullname: Grosjean, David
– sequence: 12
  givenname: Jungwook
  surname: Yang
  fullname: Yang, Jungwook
– sequence: 13
  givenname: Liewei
  surname: Bao
  fullname: Bao, Liewei
– sequence: 14
  givenname: Rob
  surname: Schneider
  fullname: Schneider, Rob
– sequence: 15
  givenname: Sebastian
  surname: Schaetz
  fullname: Schaetz, Sebastian
– sequence: 16
  givenname: Christophe
  surname: Meyer
  fullname: Meyer, Christophe
– sequence: 17
  givenname: Abraham
  surname: Neben
  fullname: Neben, Abraham
– sequence: 18
  givenname: Bob
  surname: Ryan
  fullname: Ryan, Bob
– sequence: 19
  givenname: J. R.
  surname: Petrus
  fullname: Petrus, J. R.
– sequence: 20
  givenname: Joe
  surname: Lutsky
  fullname: Lutsky, Joe
– sequence: 21
  givenname: Dan
  surname: McMahill
  fullname: McMahill, Dan
– sequence: 22
  givenname: Gregory
  surname: Corteville
  fullname: Corteville, Gregory
– sequence: 23
  givenname: Matthew R.
  surname: Hageman
  fullname: Hageman, Matthew R.
– sequence: 24
  givenname: Larry
  surname: Miller
  fullname: Miller, Larry
– sequence: 25
  givenname: Keith G.
  surname: Fife
  fullname: Fife, Keith G.
BookMark eNp9kU1rHSEYhSWkNDcf66wKA9100Ulev2Z0UyihaQqBbppuxXGcGy9enaoTyL-vNzekJItuVPA5x_N6jtFhiMEidI7hAkNPL-eg8wUBLCmVGIsDtMIgcdsxCYdoBUD6VjDCjtBxzhsAkFzAe3REGaly2a3Q7ztfks5xCWMbQ2vu3dzMXpcppm1Tl2ZrR2e0b9xWr11Yf2500P4xu7w7jY2J3ltT3INtXCjWe7e2wdhT9G7SPtuz5_0E3V1_-3V1097-_P7j6utta5joStsN1PSTFr0wxmAmhk5y3ZmJGTFgqMHxwIkweByYZYKMVE6DhREGTDQmfKIn6Mved16GmtTYUKfxak41bnpUUTv1-ia4e7WOD0qQHvcgqsGnZ4MU_yw2F7V12dQ5dLBxyYpwJhgG3vOKfnyDbuKS6m88UVIywaWs1OWeMinmnOz0EgaD2nWmdp2pf51VBX-jMK7o4uIusfP_0X3Y6za5xPTyDOmBE8o7-hfMk6dj
CitedBy_id crossref_primary_10_1109_JMEMS_2024_3440191
crossref_primary_10_1177_10806032241304441
crossref_primary_10_1016_j_snb_2023_134077
crossref_primary_10_1016_j_zemedi_2023_04_010
crossref_primary_10_1109_JSEN_2024_3385911
crossref_primary_10_1016_j_eml_2025_102315
crossref_primary_10_1109_JMEMS_2022_3230054
crossref_primary_10_1038_s44222_022_00015_3
crossref_primary_10_1109_TUFFC_2025_3527543
crossref_primary_10_1177_14613484221133603
crossref_primary_10_1016_j_ijid_2022_07_009
crossref_primary_10_1053_j_jvca_2022_08_008
crossref_primary_10_1038_s41587_023_01800_0
crossref_primary_10_1021_acsnano_2c12606
crossref_primary_10_1109_JSSC_2023_3299749
crossref_primary_10_3390_ph16071042
crossref_primary_10_1016_j_mee_2024_112224
crossref_primary_10_1038_d41586_024_02066_5
crossref_primary_10_1109_JSEN_2023_3252814
crossref_primary_10_1016_j_acra_2023_01_018
crossref_primary_10_1109_JSEN_2024_3392915
crossref_primary_10_1002_anbr_202100117
crossref_primary_10_1016_j_snr_2024_100263
crossref_primary_10_3390_medsci12020017
crossref_primary_10_1177_17562848231184986
crossref_primary_10_1109_TBME_2023_3266367
crossref_primary_10_1109_TBME_2023_3329826
crossref_primary_10_1038_s41378_022_00412_z
crossref_primary_10_1155_2024_1142627
crossref_primary_10_1109_OJSSCS_2021_3115398
crossref_primary_10_1016_j_sna_2022_113666
crossref_primary_10_4037_aacnacc2023867
crossref_primary_10_1002_lpor_202400414
crossref_primary_10_1109_TUFFC_2024_3352655
crossref_primary_10_1155_2022_7205016
crossref_primary_10_3390_electronics10243118
crossref_primary_10_1111_aogs_14922
crossref_primary_10_1109_TUFFC_2024_3417818
crossref_primary_10_1136_bmjopen_2022_070765
crossref_primary_10_3390_mi16010043
crossref_primary_10_1109_LED_2022_3175323
crossref_primary_10_1177_14759217231152413
crossref_primary_10_1142_S0219519423400833
crossref_primary_10_1016_j_ultras_2024_107401
crossref_primary_10_3390_s22249799
crossref_primary_10_3390_s23136202
crossref_primary_10_3390_diagnostics13243665
crossref_primary_10_1016_j_cej_2022_137741
crossref_primary_10_1007_s00542_023_05569_9
crossref_primary_10_1016_j_ultrasmedbio_2024_11_005
crossref_primary_10_1016_j_addr_2023_115133
crossref_primary_10_1126_science_adc8732
crossref_primary_10_1002_adma_202306880
crossref_primary_10_1016_j_device_2024_100288
crossref_primary_10_1016_S1872_2067_24_60028_8
crossref_primary_10_1007_s00542_024_05750_8
crossref_primary_10_1007_s00542_024_05756_2
crossref_primary_10_1002_jso_27441
crossref_primary_10_1038_s41378_024_00755_9
crossref_primary_10_1038_s41578_024_00729_3
crossref_primary_10_1016_j_mcna_2024_08_002
crossref_primary_10_1109_JSEN_2024_3401455
crossref_primary_10_1002_adma_202409251
crossref_primary_10_1002_adma_202307664
crossref_primary_10_1142_S0218348X22501857
crossref_primary_10_20517_ss_2024_29
Cites_doi 10.1016/j.jacr.2010.01.018
10.1109/CVPR.2015.7298664
10.1016/j.echo.2005.10.005
10.1109/ISSCC.2013.6487786
10.1016/j.mejo.2005.10.012
10.1007/978-3-319-24574-4_28
10.1109/JSSC.2007.892169
10.1109/IEMBS.2010.5627580
10.1109/ISSCC.2018.8310246
10.1109/ISSCC.2017.7870459
10.1186/2110-5820-4-1
10.1001/jamacardio.2018.0001
10.1109/ULTSYM.2002.1192473
10.1109/JSSC.2017.2749425
10.1109/TUFFC.2005.1563260
10.1007/978-3-030-37558-4_26
10.1109/JSSC.2013.2274895
10.1007/978-3-319-67558-9_30
10.1109/JMEMS.2010.2093567
10.1109/ULTSYM.2013.0442
10.1109/CVPR.2016.90
10.1016/j.jacr.2014.09.022
10.1109/JSSC.2010.2042254
10.1109/ULTSYM.2004.1417715
10.1117/12.148585
10.1109/ISSCC.2019.8662531
10.1109/ULTSYM.2014.0143
ContentType Journal Article
Copyright Copyright National Academy of Sciences Jul 6, 2021
Copyright © 2021 the Author(s). Published by PNAS.
Copyright © 2021 the Author(s). Published by PNAS. 2021
Copyright_xml – notice: Copyright National Academy of Sciences Jul 6, 2021
– notice: Copyright © 2021 the Author(s). Published by PNAS.
– notice: Copyright © 2021 the Author(s). Published by PNAS. 2021
DBID AAYXX
CITATION
7QG
7QL
7QP
7QR
7SN
7SS
7T5
7TK
7TM
7TO
7U9
8FD
C1K
FR3
H94
M7N
P64
RC3
7X8
5PM
DOI 10.1073/pnas.2019339118
DatabaseName CrossRef
Animal Behavior Abstracts
Bacteriology Abstracts (Microbiology B)
Calcium & Calcified Tissue Abstracts
Chemoreception Abstracts
Ecology Abstracts
Entomology Abstracts (Full archive)
Immunology Abstracts
Neurosciences Abstracts
Nucleic Acids Abstracts
Oncogenes and Growth Factors Abstracts
Virology and AIDS Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
AIDS and Cancer Research Abstracts
Algology Mycology and Protozoology Abstracts (Microbiology C)
Biotechnology and BioEngineering Abstracts
Genetics Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
Virology and AIDS Abstracts
Oncogenes and Growth Factors Abstracts
Technology Research Database
Nucleic Acids Abstracts
Ecology Abstracts
Neurosciences Abstracts
Biotechnology and BioEngineering Abstracts
Environmental Sciences and Pollution Management
Entomology Abstracts
Genetics Abstracts
Animal Behavior Abstracts
Bacteriology Abstracts (Microbiology B)
Algology Mycology and Protozoology Abstracts (Microbiology C)
AIDS and Cancer Research Abstracts
Chemoreception Abstracts
Immunology Abstracts
Engineering Research Database
Calcium & Calcified Tissue Abstracts
MEDLINE - Academic
DatabaseTitleList
MEDLINE - Academic
Virology and AIDS Abstracts

CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Sciences (General)
Public Health
EISSN 1091-6490
EndPage 9
ExternalDocumentID PMC8271708
10_1073_pnas_2019339118
27052356
GroupedDBID ---
-DZ
-~X
.55
0R~
123
29P
2AX
2FS
2WC
4.4
53G
5RE
5VS
85S
AACGO
AAFWJ
AANCE
ABBHK
ABOCM
ABPLY
ABPPZ
ABTLG
ABXSQ
ABZEH
ACGOD
ACIWK
ACNCT
ACPRK
AENEX
AEUPB
AEXZC
AFFNX
AFOSN
AFRAH
ALMA_UNASSIGNED_HOLDINGS
BKOMP
CS3
D0L
DCCCD
DIK
DU5
E3Z
EBS
F5P
FRP
GX1
H13
HH5
HYE
IPSME
JAAYA
JBMMH
JENOY
JHFFW
JKQEH
JLS
JLXEF
JPM
JSG
JST
KQ8
L7B
LU7
N9A
N~3
O9-
OK1
PNE
PQQKQ
R.V
RHI
RNA
RNS
RPM
RXW
SA0
SJN
TAE
TN5
UKR
W8F
WH7
WOQ
WOW
X7M
XSW
Y6R
YBH
YKV
YSK
ZCA
~02
~KM
AAYXX
CITATION
7QG
7QL
7QP
7QR
7SN
7SS
7T5
7TK
7TM
7TO
7U9
8FD
C1K
FR3
H94
M7N
P64
RC3
7X8
5PM
ID FETCH-LOGICAL-c486t-6b3c7fa878ccc148b695a6cf4c8b104241b528c1db4e482d39fbe0d0b12a125f3
ISSN 0027-8424
1091-6490
IngestDate Tue Sep 30 16:58:41 EDT 2025
Fri Sep 05 06:08:46 EDT 2025
Mon Jun 30 09:59:31 EDT 2025
Wed Oct 01 01:46:59 EDT 2025
Thu Apr 24 23:11:14 EDT 2025
Thu May 29 08:51:48 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 27
Language English
License This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c486t-6b3c7fa878ccc148b695a6cf4c8b104241b528c1db4e482d39fbe0d0b12a125f3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Author contributions: J.M.R., T.S.R., A.G.R., J.M., J.S.Z., S.A.A., N.J.S., K.C., C.C., K.T., D.G., J.Y., L.B., R.S., S.S., C.M., A.N., B.R., J.R.P., J.L., D.M., G.C., M.R.H., L.M., and K.G.F. designed research; J.M.R., T.S.R., A.G.R., J.M., J.S.Z., S.A.A., N.J.S., K.C., C.C., K.T., D.G., J.Y., L.B., R.S., S.S., C.M., A.N., B.R., J.R.P., J.L., D.M., G.C., M.R.H., L.M., and K.G.F. performed research; J.M.R., T.S.R., A.G.R., J.M., J.S.Z., S.A.A., N.J.S., K.C., C.C., K.T., D.G., J.Y., L.B., R.S., S.S., C.M., A.N., B.R., J.R.P., J.L., D.M., G.C., M.R.H., L.M., and K.G.F. analyzed data; and J.M.R., T.S.R., A.G.R., J.M., J.S.Z., S.A.A., N.J.S., K.C., C.C., K.T., D.G., J.Y., L.B., R.S., S.S., C.M., A.N., B.R., J.R.P., J.L., D.M., G.C., M.R.H., L.M., and K.G.F. wrote the paper.
Edited by John A. Rogers, Northwestern University, Evanston, IL, and approved May 21, 2021 (received for review September 18, 2020)
ORCID 0000-0001-9072-0826
0000-0002-1264-2786
0000-0003-3175-4350
0000-0001-5462-5725
0000-0002-4146-9011
0000-0003-2142-4120
0000-0002-9133-4035
OpenAccessLink https://pubmed.ncbi.nlm.nih.gov/PMC8271708
PMID 34210796
PQID 2549948599
PQPubID 42026
PageCount 9
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_8271708
proquest_miscellaneous_2548410575
proquest_journals_2549948599
crossref_primary_10_1073_pnas_2019339118
crossref_citationtrail_10_1073_pnas_2019339118
jstor_primary_27052356
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2021-07-06
PublicationDateYYYYMMDD 2021-07-06
PublicationDate_xml – month: 07
  year: 2021
  text: 2021-07-06
  day: 06
PublicationDecade 2020
PublicationPlace Washington
PublicationPlace_xml – name: Washington
PublicationTitle Proceedings of the National Academy of Sciences - PNAS
PublicationYear 2021
Publisher National Academy of Sciences
Publisher_xml – name: National Academy of Sciences
References e_1_3_4_9_2
e_1_3_4_7_2
e_1_3_4_40_2
Laënnec R. T. H. (e_1_3_4_3_2) 1819
e_1_3_4_5_2
e_1_3_4_23_2
e_1_3_4_21_2
e_1_3_4_42_2
e_1_3_4_27_2
e_1_3_4_48_2
e_1_3_4_25_2
e_1_3_4_29_2
e_1_3_4_30_2
e_1_3_4_11_2
e_1_3_4_34_2
e_1_3_4_32_2
e_1_3_4_15_2
e_1_3_4_38_2
e_1_3_4_13_2
e_1_3_4_36_2
Sofka M. (e_1_3_4_51_2) 2017
e_1_3_4_19_2
e_1_3_4_17_2
Lang R. M. (e_1_3_4_53_2) 2005; 18
e_1_3_4_2_2
e_1_3_4_8_2
e_1_3_4_41_2
e_1_3_4_4_2
Kollmann C. (e_1_3_4_46_2) 2011
e_1_3_4_22_2
e_1_3_4_45_2
e_1_3_4_20_2
e_1_3_4_43_2
Szabo T. L. (e_1_3_4_6_2) 2013
e_1_3_4_26_2
e_1_3_4_49_2
e_1_3_4_24_2
e_1_3_4_47_2
Tole N. M. (e_1_3_4_44_2) 2005
e_1_3_4_28_2
e_1_3_4_50_2
e_1_3_4_12_2
e_1_3_4_33_2
e_1_3_4_10_2
e_1_3_4_31_2
e_1_3_4_16_2
e_1_3_4_37_2
e_1_3_4_14_2
e_1_3_4_35_2
Fossum E. R. (e_1_3_4_52_2) 1993
e_1_3_4_18_2
e_1_3_4_39_2
Rumack C. M. (e_1_3_4_1_2) 2011
References_xml – ident: e_1_3_4_4_2
  doi: 10.1016/j.jacr.2010.01.018
– ident: e_1_3_4_12_2
– ident: e_1_3_4_50_2
  doi: 10.1109/CVPR.2015.7298664
– ident: e_1_3_4_42_2
– volume: 18
  start-page: 1440
  year: 2005
  ident: e_1_3_4_53_2
  article-title: Recommendations for chamber quantification: A report from the American Society of Echocardiography’s Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology
  publication-title: J. Am. Soc. Echocardiogr.
  doi: 10.1016/j.echo.2005.10.005
– ident: e_1_3_4_34_2
– ident: e_1_3_4_15_2
  doi: 10.1109/ISSCC.2013.6487786
– volume-title: Diagnostic Ultrasound
  year: 2011
  ident: e_1_3_4_1_2
– volume-title: De l’auscultation médiate ou Traité du Diagnostic des Maladies des Poumon et du Coeur
  year: 1819
  ident: e_1_3_4_3_2
– ident: e_1_3_4_41_2
– ident: e_1_3_4_33_2
– ident: e_1_3_4_11_2
  doi: 10.1016/j.mejo.2005.10.012
– ident: e_1_3_4_36_2
– ident: e_1_3_4_49_2
  doi: 10.1007/978-3-319-24574-4_28
– ident: e_1_3_4_38_2
  doi: 10.1109/JSSC.2007.892169
– ident: e_1_3_4_13_2
  doi: 10.1109/IEMBS.2010.5627580
– ident: e_1_3_4_18_2
  doi: 10.1109/ISSCC.2018.8310246
– ident: e_1_3_4_17_2
  doi: 10.1109/ISSCC.2017.7870459
– ident: e_1_3_4_47_2
  doi: 10.1186/2110-5820-4-1
– ident: e_1_3_4_2_2
  doi: 10.1001/jamacardio.2018.0001
– ident: e_1_3_4_29_2
– ident: e_1_3_4_23_2
– ident: e_1_3_4_37_2
– ident: e_1_3_4_7_2
  doi: 10.1109/ULTSYM.2002.1192473
– ident: e_1_3_4_31_2
– volume-title: Diagnostic Ultrasound Imaging: Inside Out
  year: 2013
  ident: e_1_3_4_6_2
– ident: e_1_3_4_16_2
  doi: 10.1109/JSSC.2017.2749425
– ident: e_1_3_4_26_2
  doi: 10.1109/TUFFC.2005.1563260
– volume-title: EFSUMB Course Book
  year: 2011
  ident: e_1_3_4_46_2
– ident: e_1_3_4_28_2
– ident: e_1_3_4_20_2
  doi: 10.1007/978-3-030-37558-4_26
– ident: e_1_3_4_45_2
– ident: e_1_3_4_14_2
  doi: 10.1109/JSSC.2013.2274895
– start-page: 258
  volume-title: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
  year: 2017
  ident: e_1_3_4_51_2
  doi: 10.1007/978-3-319-67558-9_30
– ident: e_1_3_4_9_2
  doi: 10.1109/JMEMS.2010.2093567
– ident: e_1_3_4_22_2
– ident: e_1_3_4_30_2
– ident: e_1_3_4_8_2
  doi: 10.1109/ULTSYM.2013.0442
– ident: e_1_3_4_48_2
  doi: 10.1109/CVPR.2016.90
– ident: e_1_3_4_5_2
  doi: 10.1016/j.jacr.2014.09.022
– ident: e_1_3_4_10_2
– ident: e_1_3_4_35_2
– ident: e_1_3_4_39_2
  doi: 10.1109/JSSC.2010.2042254
– ident: e_1_3_4_25_2
  doi: 10.1109/ULTSYM.2004.1417715
– start-page: 2
  volume-title: Charge-Coupled Devices and Solid State Optical Sensors III
  year: 1993
  ident: e_1_3_4_52_2
  doi: 10.1117/12.148585
– ident: e_1_3_4_19_2
  doi: 10.1109/ISSCC.2019.8662531
– ident: e_1_3_4_21_2
  doi: 10.1109/ULTSYM.2014.0143
– ident: e_1_3_4_24_2
– ident: e_1_3_4_32_2
– ident: e_1_3_4_40_2
– ident: e_1_3_4_43_2
– volume-title: Basic Physics of Ultrasonographic Imaging
  year: 2005
  ident: e_1_3_4_44_2
– ident: e_1_3_4_27_2
SSID ssj0009580
Score 2.6088548
Snippet Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life....
Affordable hand-held ultrasound is transforming health care as a diagnostic tool with the potential to be as ubiquitous as the stethoscope. Here, we present a...
SourceID pubmedcentral
proquest
crossref
jstor
SourceType Open Access Repository
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1
SubjectTerms Algorithms
Analog circuits
Analog to digital conversion
Analog to digital converters
Augmented reality
Biological Sciences
Circuit design
Digital electronics
Fabrication
Global health
Image acquisition
Image quality
Intelligence
Intelligence (information)
Medical imaging
Metal oxide semiconductors
Microelectromechanical systems
Physical Sciences
Power consumption
Public health
Pulse generators
Semiconductors
Sensor arrays
Technology assessment
Ultrasonic imaging
Ultrasound
Title Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence
URI https://www.jstor.org/stable/27052356
https://www.proquest.com/docview/2549948599
https://www.proquest.com/docview/2548410575
https://pubmed.ncbi.nlm.nih.gov/PMC8271708
Volume 118
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVFSB
  databaseName: Free Full-Text Journals in Chemistry
  customDbUrl:
  eissn: 1091-6490
  dateEnd: 20250401
  omitProxy: true
  ssIdentifier: ssj0009580
  issn: 0027-8424
  databaseCode: HH5
  dateStart: 19150101
  isFulltext: true
  titleUrlDefault: http://abc-chemistry.org/
  providerName: ABC ChemistRy
– providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 1091-6490
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0009580
  issn: 0027-8424
  databaseCode: KQ8
  dateStart: 19150101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 1091-6490
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0009580
  issn: 0027-8424
  databaseCode: KQ8
  dateStart: 19150115
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVBFR
  databaseName: Free Medical Journals
  customDbUrl:
  eissn: 1091-6490
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0009580
  issn: 0027-8424
  databaseCode: DIK
  dateStart: 19150101
  isFulltext: true
  titleUrlDefault: http://www.freemedicaljournals.com
  providerName: Flying Publisher
– providerCode: PRVFQY
  databaseName: GFMER Free Medical Journals
  customDbUrl:
  eissn: 1091-6490
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0009580
  issn: 0027-8424
  databaseCode: GX1
  dateStart: 0
  isFulltext: true
  titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php
  providerName: Geneva Foundation for Medical Education and Research
– providerCode: PRVAQN
  databaseName: PubMed Central
  customDbUrl:
  eissn: 1091-6490
  dateEnd: 20250401
  omitProxy: true
  ssIdentifier: ssj0009580
  issn: 0027-8424
  databaseCode: RPM
  dateStart: 19150101
  isFulltext: true
  titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/
  providerName: National Library of Medicine
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLbKeEFCiA0mAgMZCaGh4pKbL32c0MaEpjJNLepblDiOmNSlpU0f4Ifx-ziO7VygTMBLFDl2HPmcHB_b3_kOQq9iKaivIkUkpRGJi5yTLFU-8SXPA3AnCijRaIsJO5_FH-d0Phj86KCWtlU2kt93xpX8j1ShDOSqo2T_QbLNS6EA7kG-cAUJw_WvZDxbVOt0oxMjkWVJpMZdrRZppf3QGj54Y09hrm_qXEQGqWlISBxqU-uBsXk1c4Rj5-z6rJfNHLdxiIKJ20I8aQNSrJXYDMnwctKmN74CVXAYMrdV327BXsEYWQD_9NtCrYc72-konDYJWMt80OCI7bZFGNQQV9aiOm75zq69DmEOjU2U9UgZEw0eDmGxSTLa2PDWiG8d24A1ycHOiQIsm85uXKaash2c2GjsXtGj5J58Ss5mFxfJ9HQ-fb36SnS2Mn2qb1O33EF3Q86YzpzxYR50yJ6FCX2yX-8opXj07pcee96QAcT2ljp9oG7H85k-RA_skgWfGP3bRwNVHqD7Zr8XmzC2A7TvhhUfWybzN4_Q598VFDsFxXDBVkGxVdC32Kmnvstxq5y4q5yP0ezsdPr-nNhEHkTGglWEZZHkRSq4kFLC-jtjY5oyWYChyAJ99h5kNBQyyLNYxSLMo3GRKT_3syBMwQEvokO0Vy5L9QRhFsICH6SvdHMYQwErdppHUuVFWtBYeWjkBjSRluVeJ1tZJDXagkeJlkDSSsBDx02DlSF4-XPVw1pCTb2Q60MVyjx05ESWWPMA7fTOSyzoeOyhl81jMN76RC4t1XJb1xEaZ82ph3hP1E0fmv69_6S8_lLTwAsYCu6Lp7d3_gzda3-_I7RXrbfqOfjRVfaiVtqf71fOZg
linkProvider Geneva Foundation for Medical Education and Research
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Ultrasound-on-chip+platform+for+medical+imaging%2C+analysis%2C+and+collective+intelligence&rft.jtitle=Proceedings+of+the+National+Academy+of+Sciences+-+PNAS&rft.au=Rothberg%2C+Jonathan+M&rft.au=Ralston%2C+Tyler+S&rft.au=Rothberg%2C+Alex+G&rft.au=Martin%2C+John&rft.date=2021-07-06&rft.pub=National+Academy+of+Sciences&rft.issn=0027-8424&rft.eissn=1091-6490&rft.volume=118&rft.issue=27&rft.spage=1&rft_id=info:doi/10.1073%2Fpnas.2019339118&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0027-8424&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0027-8424&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0027-8424&client=summon