2007
DOI: 10.1590/s0100-83582007000400001
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ANATI QUANTI: software de análises quantitativas para estudos em anatomia vegetal

Abstract: RESUMO -Em diversos estudos interdisciplinares em que a Anatomia Vegetal é utilizada, análises quantitativas complementares são necessárias. Geralmente, a avaliação micromorfométrica é feita manualmente e/ou utilizando programas computacionais de análise de imagens não específicos. Este trabalho teve como objetivo desenvolver um programa específico para Anatomia Vegetal quantitativa e testar sua eficiência e aceitação por usuários. A solução foi elaborada na linguagem Java, visando maior mobilidade em relação … Show more

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Cited by 74 publications
(44 citation statements)
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References 14 publications
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“…The stomata were counted and the stomatal index (SI) was calculated in the Anati Quant 2® UFV software (Aguiar et al 2007). Three individuals from each phytophysiognomy were analyzed; four sections per individual, thus totaling 12 sections.…”
Section: Methodsmentioning
confidence: 99%
“…The stomata were counted and the stomatal index (SI) was calculated in the Anati Quant 2® UFV software (Aguiar et al 2007). Three individuals from each phytophysiognomy were analyzed; four sections per individual, thus totaling 12 sections.…”
Section: Methodsmentioning
confidence: 99%
“…The middle third region of one leaf of each repetition was evaluated, and 10 fields were qualified. For studies related to the characterization of the stomata (average number per mm 2 , polar and equatorial diameter), the slides were photomicrographed with a 20x objective lens through the image capturer, coupled to the light microscope Leica  DMLB type, and the analyses were made through the program Anati Quant 2  UFV (Aguiar et al, 2007).…”
Section: Methodsmentioning
confidence: 99%
“…Based on the photomicrographs and by means of the Anati Quanti 2  UFV program (Aguiar et al, 2007), the tissues from 144 transversal cuts of roots and 144 transversal cuts of leaves were measured, and the epidermal cells of 216 paradermal images were counted.…”
Section: Methodsmentioning
confidence: 99%