Natural Vision Data File Format as a New Spectral Image Format for Biological Applications

Approved

Publication information

OKM publication type
A1
Category
Artikkelit ja abstraktit
Sub category
Tieteelliset aikakauslehtiartikkelit
Type
Alkuperäisartikkeli
Refereed
Kyllä

Authors of the publication

Number of authors
11
Authors
Sakamoto Joji, Dumont Jennifer, Fauch Laure, Keski-Saari Sarita, Granlund Lars, Porali Ilkka, Orava Joni, Hiltunen Jouni, Oksanen Elina, Keinänen Markku, Hauta-Kasari Markku
Local authors
Author
Sakamoto Joji
Author
Dumont Jennifer
Author
Fauch Laure Stephanie
Author
Granlund Lars
Unit
Biologian laitos / Biologian laitoksen toiminta
Author
Hiltunen Jouni
Unit
Biologian laitos / Biologian laitoksen toiminta
Unit
Biologian laitos / Biologian laitoksen toiminta
Unit
Biologian laitos / Biologian laitoksen toiminta
Author
Orava Joni
Unit
LuMeT:n infrastruktuuriyksikkö / InFotonics Center
Author
Porali Ilkka
Unit
Biologian laitos / Biologian laitoksen toiminta

Publication channel information

Name of conference
the 6th International Conference, ICISP 2014, Cherbourg, France, June 20 - July 2, 2014
Title of journal/series
Lecture notes in computer science
ISSN (print)
0302-9743
ISSN (electronic)
1611-3349
ISSN (linking)
0302-9743
Publication forum ID
62555
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2014
Reporting year
2014
Journal/series volume number
8509
Page numbers
124-132
DOI
10.1007/978-3-319-07998-1_15
Language of publication
English

Co-publication information

International co-publication
No

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Subject headings
, Spectral imaging, biological imaging, application oriented, Natural Vision data file format, minimum information standard