157 related articles for article (PubMed ID: 32459276)
1. Intelligent image-activated cell sorting 2.0.
Isozaki A; Mikami H; Tezuka H; Matsumura H; Huang K; Akamine M; Hiramatsu K; Iino T; Ito T; Karakawa H; Kasai Y; Li Y; Nakagawa Y; Ohnuki S; Ota T; Qian Y; Sakuma S; Sekiya T; Shirasaki Y; Suzuki N; Tayyabi E; Wakamiya T; Xu M; Yamagishi M; Yan H; Yu Q; Yan S; Yuan D; Zhang W; Zhao Y; Arai F; Campbell RE; Danelon C; Di Carlo D; Hiraki K; Hoshino Y; Hosokawa Y; Inaba M; Nakagawa A; Ohya Y; Oikawa M; Uemura S; Ozeki Y; Sugimura T; Nitta N; Goda K
Lab Chip; 2020 Jun; 20(13):2263-2273. PubMed ID: 32459276
[TBL] [Abstract][Full Text] [Related]
2. A practical guide to intelligent image-activated cell sorting.
Isozaki A; Mikami H; Hiramatsu K; Sakuma S; Kasai Y; Iino T; Yamano T; Yasumoto A; Oguchi Y; Suzuki N; Shirasaki Y; Endo T; Ito T; Hiraki K; Yamada M; Matsusaka S; Hayakawa T; Fukuzawa H; Yatomi Y; Arai F; Di Carlo D; Nakagawa A; Hoshino Y; Hosokawa Y; Uemura S; Sugimura T; Ozeki Y; Nitta N; Goda K
Nat Protoc; 2019 Aug; 14(8):2370-2415. PubMed ID: 31278398
[TBL] [Abstract][Full Text] [Related]
3. Intelligent sort-timing prediction for image-activated cell sorting.
Zhao Y; Isozaki A; Herbig M; Hayashi M; Hiramatsu K; Yamazaki S; Kondo N; Ohnuki S; Ohya Y; Nitta N; Goda K
Cytometry A; 2023 Jan; 103(1):88-97. PubMed ID: 35766305
[TBL] [Abstract][Full Text] [Related]
4. Intelligent Image-Activated Cell Sorting.
Nitta N; Sugimura T; Isozaki A; Mikami H; Hiraki K; Sakuma S; Iino T; Arai F; Endo T; Fujiwaki Y; Fukuzawa H; Hase M; Hayakawa T; Hiramatsu K; Hoshino Y; Inaba M; Ito T; Karakawa H; Kasai Y; Koizumi K; Lee S; Lei C; Li M; Maeno T; Matsusaka S; Murakami D; Nakagawa A; Oguchi Y; Oikawa M; Ota T; Shiba K; Shintaku H; Shirasaki Y; Suga K; Suzuki Y; Suzuki N; Tanaka Y; Tezuka H; Toyokawa C; Yalikun Y; Yamada M; Yamagishi M; Yamano T; Yasumoto A; Yatomi Y; Yazawa M; Di Carlo D; Hosokawa Y; Uemura S; Ozeki Y; Goda K
Cell; 2018 Sep; 175(1):266-276.e13. PubMed ID: 30166209
[TBL] [Abstract][Full Text] [Related]
5. Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry.
Li Y; Mahjoubfar A; Chen CL; Niazi KR; Pei L; Jalali B
Sci Rep; 2019 Jul; 9(1):11088. PubMed ID: 31366998
[TBL] [Abstract][Full Text] [Related]
6. User-friendly image-activated microfluidic cell sorting technique using an optimized, fast deep learning algorithm.
Lee K; Kim SE; Doh J; Kim K; Chung WK
Lab Chip; 2021 May; 21(9):1798-1810. PubMed ID: 33734252
[TBL] [Abstract][Full Text] [Related]
7. Intelligent Image De-Blurring for Imaging Flow Cytometry.
Zhang F; Lei C; Huang CJ; Kobayashi H; Sun CW; Goda K
Cytometry A; 2019 May; 95(5):549-554. PubMed ID: 31006981
[TBL] [Abstract][Full Text] [Related]
8. An integrated high-throughput microfluidic circulatory fluorescence-activated cell sorting system (μ-CFACS) for the enrichment of rare cells.
Cai K; Mankar S; Ajiri T; Shirai K; Yotoriyama T
Lab Chip; 2021 Aug; 21(16):3112-3127. PubMed ID: 34286793
[TBL] [Abstract][Full Text] [Related]
9. Virtual-freezing fluorescence imaging flow cytometry.
Mikami H; Kawaguchi M; Huang CJ; Matsumura H; Sugimura T; Huang K; Lei C; Ueno S; Miura T; Ito T; Nagasawa K; Maeno T; Watarai H; Yamagishi M; Uemura S; Ohnuki S; Ohya Y; Kurokawa H; Matsusaka S; Sun CW; Ozeki Y; Goda K
Nat Commun; 2020 Mar; 11(1):1162. PubMed ID: 32139684
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning Based Real-Time Image-Guided Cell Sorting and Classification.
Gu Y; Zhang AC; Han Y; Li J; Chen C; Lo YH
Cytometry A; 2019 May; 95(5):499-509. PubMed ID: 30958640
[TBL] [Abstract][Full Text] [Related]
11. Analysis of Volleyball Video Intelligent Description Technology Based on Computer Memory Network and Attention Mechanism.
Zhang Z
Comput Intell Neurosci; 2021; 2021():7976888. PubMed ID: 34992652
[TBL] [Abstract][Full Text] [Related]
12. Upgraded User-Friendly Image-Activated Microfluidic Cell Sorter Using an Optimized and Fast Deep Learning Algorithm.
Lee K; Kim SE; Nam S; Doh J; Chung WK
Micromachines (Basel); 2022 Nov; 13(12):. PubMed ID: 36557404
[TBL] [Abstract][Full Text] [Related]
13. Intelligent image-activated sorting of Chlamydomonas reinhardtii by mitochondrial localization.
Harmon J; Findinier J; Ishii NT; Herbig M; Isozaki A; Grossman A; Goda K
Cytometry A; 2022 Dec; 101(12):1027-1034. PubMed ID: 35643943
[TBL] [Abstract][Full Text] [Related]
14. Raman image-activated cell sorting.
Nitta N; Iino T; Isozaki A; Yamagishi M; Kitahama Y; Sakuma S; Suzuki Y; Tezuka H; Oikawa M; Arai F; Asai T; Deng D; Fukuzawa H; Hase M; Hasunuma T; Hayakawa T; Hiraki K; Hiramatsu K; Hoshino Y; Inaba M; Inoue Y; Ito T; Kajikawa M; Karakawa H; Kasai Y; Kato Y; Kobayashi H; Lei C; Matsusaka S; Mikami H; Nakagawa A; Numata K; Ota T; Sekiya T; Shiba K; Shirasaki Y; Suzuki N; Tanaka S; Ueno S; Watarai H; Yamano T; Yazawa M; Yonamine Y; Di Carlo D; Hosokawa Y; Uemura S; Sugimura T; Ozeki Y; Goda K
Nat Commun; 2020 Jul; 11(1):3452. PubMed ID: 32651381
[TBL] [Abstract][Full Text] [Related]
15. Human mammalian cell sorting using a highly integrated micro-fabricated fluorescence-activated cell sorter (microFACS).
Cho SH; Chen CH; Tsai FS; Godin JM; Lo YH
Lab Chip; 2010 Jun; 10(12):1567-73. PubMed ID: 20379604
[TBL] [Abstract][Full Text] [Related]
16. Intelligent classification of platelet aggregates by agonist type.
Zhou Y; Yasumoto A; Lei C; Huang CJ; Kobayashi H; Wu Y; Yan S; Sun CW; Yatomi Y; Goda K
Elife; 2020 May; 9():. PubMed ID: 32393438
[TBL] [Abstract][Full Text] [Related]
17. CellSort: a support vector machine tool for optimizing fluorescence-activated cell sorting and reducing experimental effort.
Yu JS; Pertusi DA; Adeniran AV; Tyo KEJ
Bioinformatics; 2017 Mar; 33(6):909-916. PubMed ID: 27998936
[TBL] [Abstract][Full Text] [Related]
18. On the robustness of machine learning algorithms toward microfluidic distortions for cell classification
Ahmad A; Sala F; Paiè P; Candeo A; D'Annunzio S; Zippo A; Frindel C; Osellame R; Bragheri F; Bassi A; Rousseau D
Lab Chip; 2022 Sep; 22(18):3453-3463. PubMed ID: 35946995
[TBL] [Abstract][Full Text] [Related]
19. High-throughput, label-free, single-cell, microalgal lipid screening by machine-learning-equipped optofluidic time-stretch quantitative phase microscopy.
Guo B; Lei C; Kobayashi H; Ito T; Yalikun Y; Jiang Y; Tanaka Y; Ozeki Y; Goda K
Cytometry A; 2017 May; 91(5):494-502. PubMed ID: 28399328
[TBL] [Abstract][Full Text] [Related]
20. Research on cell detection method for microfluidic single cell dispensing.
Cai J; Wang Q; Wang C; Deng Y
Math Biosci Eng; 2023 Jan; 20(2):3970-3982. PubMed ID: 36899612
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
