Laser Microdissection
Laser Microdissection - Related Videos
12:02
Laser Capture Microdissection of Drosophila Peripheral Neurons
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Cited by 25 •
2010
In this video-article we present a method for isolating single or multiple Drosophila da neurons from third instar larvae using the infrared capture (IR) class of Laser Capture Microdissection (LCM). RNA obtained from the isolated neurons can be readily used for downstream applications including qRT-PCR or microarray analyses.
16:34
Laser Capture Microdissection of Mammalian Tissue
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Cited by 25 •
2007
Laser capture microscopy, also known as laser microdissection (LMD), enables the user to isolate small numbers of cells or tissues from frozen or ...
07:42
Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
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Cited by 15 •
2015
The goal of this protocol is to use laser-capture micro-dissection as an effective method to isolate pure populations of cell types from heterogeneous prostate tissues for downstream RNA analysis.
12:38
Laser Capture Microdissection of Neurons from Differentiated Human Neuroprogenitor Cells in Culture
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Cited by 3 •
2013
Human neuroprogenitor cells (NPCs) were expanded under proliferating conditions. NPCs were differentiated into neuron-rich cultures in the presence of a combination of neurotrophins. Neuronal markers were detected by immunofluorescence staining. To isolate a pure population of neurons, NPCs were differentiated on PEN membrane slides and laser capture microdissection was performed.
10:08
Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development
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Cited by 1 •
2017
Many developmentally important genes have cell- or tissue-specific expression patterns. This paper describes LM RNA-seq experiments to identify genes that are differentially expressed at the maize leaf blade-sheath boundary and in lg1-R mutants compared to wild-type. The experimental considerations discussed here apply to transcriptomic analyses of other developmental phenomena.
FAQs
The focused laser cuts around a chosen cell or microscopic region, enabling recovery of that material while leaving neighboring structures largely undisturbed. This preserves the relationship between the selected material and its original tissue context. As a result, molecular or morphological findings can be interpreted alongside the specific cellular location from which the sample was obtained.
Cellular identity allows researchers to connect molecular measurements with the particular cells that produced them. In immunology and infection studies, this supports direct comparisons between pathogen-infected and uninfected cells or between distinct immune populations. Such comparisons can reveal differences in host responses that might be obscured when material from many cell types is analyzed together.
Laser Microdissection can selectively enrich rare immune populations or separate visually distinct regions within a heterogeneous specimen. This reduces the loss of cell-specific information caused by analyzing mixed tissue. Investigators can therefore examine whether molecular or morphological patterns are associated with a particular region, cell population, or infection status rather than with the specimen as a whole.
A typical workflow begins by identifying the target cell or microscopic tissue region within a complex specimen. The operator then uses a focused laser to cut around or selectively collect the target while minimizing disturbance to nearby structures. After recovery, the isolated material can undergo molecular or morphological analysis, depending on the research question.
Recovered material can be examined through nucleic acid, protein, or histologic measurements. These complementary readouts connect the selected region’s cellular or tissue appearance with its molecular characteristics. Using more than one measurement type can help investigators relate visible morphology to immune activity, infection-associated changes, or other features of host-pathogen interaction.
The method is useful when infection or immune activity varies among cells or tissue regions. Researchers can compare infected and uninfected cells, enrich rare immune populations, and investigate host-pathogen interactions within their tissue context. The resulting spatially focused data may help clarify disease mechanisms and support the identification of potential diagnostic or therapeutic targets.