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Volumn 21, Issue 3, 2014, Pages 568-579

Unsupervised cell identification on multidimensional X-ray fluorescence datasets

Author keywords

cell identification; modeling overlapping cells; trace element distributions; unsupervised object recognition; X ray fluorescence microscopy (XFM)

Indexed keywords

CELLS; FLUORESCENCE MICROSCOPY; OBJECT RECOGNITION; X RAYS;

EID: 84899804881     PISSN: 09090495     EISSN: 16005775     Source Type: Journal    
DOI: 10.1107/S1600577514001416     Document Type: Article
Times cited : (13)

References (44)
  • 18
  • 39
    • 0037687691 scopus 로고    scopus 로고
    • Vogt, S. (2003). J. Phys. IV, 104, 635-638
    • (2003) J. Phys. IV , vol.104 , pp. 635-638
    • Vogt, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.