Literature DB >> 49949

An overview of botanical clearing technique.

R O Gardner.   

Abstract

Clearing techniques are outlined with reference to their action on the chemical constituents of plant tissue. The most general technique would include pretreatment with solvents, dissolution of protoplasm, dissolution of other substances, bleaching, infiltration with a dense fluid, and staining. Extensive chemical changes go on during these steps and may prevent satisfactory clearing, an important example being the discoloration of phenolic compounds. Rational design of clearing methods for the chemically distinct cell types and tissue seems a likely future development.

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Year:  1975        PMID: 49949     DOI: 10.3109/10520297509117042

Source DB:  PubMed          Journal:  Stain Technol        ISSN: 0038-9153


  7 in total

1.  Belowground fungal associations and water interact to influence the compensatory response of Ipomopsis aggregata.

Authors:  Cassandra M Allsup; Ken N Paige
Journal:  Oecologia       Date:  2016-02       Impact factor: 3.225

2.  Estimates of leaf vein density are scale dependent.

Authors:  Charles A Price; Peter R T Munro; Joshua S Weitz
Journal:  Plant Physiol       Date:  2013-11-20       Impact factor: 8.340

3.  An optical clearing technique for plant tissues allowing deep imaging and compatible with fluorescence microscopy.

Authors:  Cherish A Warner; Meredith L Biedrzycki; Samuel S Jacobs; Randall J Wisser; Jeffrey L Caplan; D Janine Sherrier
Journal:  Plant Physiol       Date:  2014-10-24       Impact factor: 8.340

4.  ClearedLeavesDB: an online database of cleared plant leaf images.

Authors:  Abhiram Das; Alexander Bucksch; Charles A Price; Joshua S Weitz
Journal:  Plant Methods       Date:  2014-03-28       Impact factor: 4.993

5.  Linking leaf veins to growth and mortality rates: an example from a subtropical tree community.

Authors:  Yoshiko Iida; I-Fang Sun; Charles A Price; Chien-Teh Chen; Zueng-Sang Chen; Jyh-Min Chiang; Chun-Lin Huang; Nathan G Swenson
Journal:  Ecol Evol       Date:  2016-07-29       Impact factor: 2.912

6.  Optimizing the Experimental Method for Stomata-Profiling Automation of Soybean Leaves Based on Deep Learning.

Authors:  Syada Nizer Sultana; Halim Park; Sung Hoon Choi; Hyun Jo; Jong Tae Song; Jeong-Dong Lee; Yang Jae Kang
Journal:  Plants (Basel)       Date:  2021-12-10

7.  An improved clearing and mounting solution to replace chloral hydrate in microscopic applications.

Authors:  Thomas S Villani; Adolfina R Koroch; James E Simon
Journal:  Appl Plant Sci       Date:  2013-05-07       Impact factor: 1.936

  7 in total

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