SPECTRAL MD INC has a total of 20 patent applications. It increased the IP activity by 300.0%. Its first patent ever was published in 2015. It filed its patents most often in United States, WIPO (World Intellectual Property Organization) and China. Its main competitors in its focus markets computer technology, medical technology and environmental technology are PEACS B V, HIRAKAWA KATSUMI and ELECTRO OPTICAL SCIENCES INC.
# | Country | Total Patents | |
---|---|---|---|
#1 | United States | 8 | |
#2 | WIPO (World Intellectual Property Organization) | 5 | |
#3 | China | 3 | |
#4 | EPO (European Patent Office) | 3 | |
#5 | Republic of Korea | 1 |
# | Industry | |
---|---|---|
#1 | Computer technology | |
#2 | Medical technology | |
#3 | Environmental technology | |
#4 | Audio-visual technology | |
#5 | Measurement |
# | Name | Total Patents |
---|---|---|
#1 | Fan Wensheng | 20 |
#2 | Dimaio John Michael | 18 |
#3 | Thatcher Jeffrey E | 17 |
#4 | Mo Weirong | 11 |
#5 | Li Weizhi | 11 |
#6 | Mccall Brian | 5 |
#7 | Gao Zhicun | 5 |
#8 | Dwight Jason | 5 |
#9 | Thatcher Jeffrey | 3 |
#10 | Baxter Ronald | 2 |
Publication | Filing date | Title |
---|---|---|
US2020193580A1 | System and method for high precision multi-aperture spectral imaging | |
US2020193597A1 | Machine learning systems and method for assessment, healing prediction, and treatment of wounds | |
WO2020123724A1 | Machine learning systems and methods for assessment, healing prediction, and treatment of wounds | |
WO2020123722A1 | System and method for high precision multi-aperture spectral imaging | |
WO2018160963A1 | Machine learning systems and techniques for multispectral amputation site analysis | |
US2017079530A1 | Reflective mode multi-spectral time-resolved optical imaging methods and apparatuses for tissue classification | |
KR20180078272A | Reflection mode for tissue classification Multispectral time resolved optical imaging methods and devices | |
EP3212057A1 | Reflective mode multi-spectral time-resolved optical imaging methods and apparatuses for tissue classification |